## Qualifications
* Full Stack (C# TypeScript/JavaScript, and Python)
* Azure Services
* Azure OpenAI, and Cognitive Services
* MCP framework
* Microsoft ecosystem experience
* Playwright, JMeter, Postman, and REST API testing
* Proficient in Microsoft Copilot extensibility, Semantic Kernel (including planner, memory, and connectors), and prompt orchestration
* DevOps & CI/CD: Knowledgeable in Azure DevOps, GitHub Actions, and Bicep for continuous integration and deployment
* GitHub Copilot

## Full Description
Software Engineer with AI Skill Set

Remote (Seattle, WA)

12+ Months

Job Description

Primary Skills:

• Full Stack (C# TypeScript/JavaScript, and Python)

• Azure Services

• Azure OpenAI, and Cognitive Services

• MCP framework

• Microsoft ecosystem experience

• Playwright, JMeter, Postman, and REST API testing

Good to Have:

• Proficient in Microsoft Copilot extensibility, Semantic Kernel (including planner, memory, and connectors), and prompt orchestration

• DevOps & CI/CD: Knowledgeable in Azure DevOps, GitHub Actions, and Bicep for continuous integration and deployment

• GitHub Copilot



Job description
Job Title

Business Analyst – Mergers & Acquisitions (M&A) and AI

Location

London (Hybrid working)

Contract Type

Permanent

Overview

We are seeking an experienced Business Analyst with strong Mergers & Acquisitions (M&A) exposure and a solid understanding of Artificial Intelligence (AI) and data-driven solutions. This role will support strategic transactions and post-merger integration while ...helping to identify and deliver AI-enabled business improvements across the organisation.

The successful candidate will work closely with senior stakeholders across strategy, finance, technology, and operations to ensure that acquisition objectives are translated into actionable business and technology outcomes.

Key Responsibilities

Mergers & Acquisitions

• Support pre-deal activities, including target assessment, due diligence, synergy analysis, and value case development

• Lead business and functional analysis during M&A lifecycle stages (pre-acquisition, Day 1 readiness, and post-merger integration)

• Document and analyse current-state and future-state processes, operating models, and systems

• Identify risks, dependencies, and integration challenges, proposing pragmatic mitigation strategies

• Support synergy tracking and benefits realisation initiatives

AI & Digital Enablement

• Identify opportunities to apply AI, automation, and advanced analytics to enhance business performance

• Collaborate with data scientists, engineers, and technology teams to translate business requirements into AI-enabled solutions

• Support use cases such as:

• Process automation

• Predictive analytics

• Intelligent reporting and decision support

• Ensure AI initiatives align with business strategy, governance standards, and ethical AI principles

Stakeholder & Delivery Management

• Act as a trusted advisor to senior stakeholders, translating strategy into clear requirements and deliverables

• Facilitate workshops, interviews, and design sessions across business and technology teams

• Produce high-quality documentation including:

• Business cases

• Requirements (BRDs, user stories, acceptance criteria)

• Process maps and operating models

• Support delivery teams using Agile, hybrid, or waterfall approaches

Essential Skills & Experience

• Proven experience as a Business Analyst within M&A or corporate development environments

• Strong understanding of deal lifecycle, integration planning, and/or carve-outs

• Experience working on technology-enabled change initiatives, ideally involving AI, data, or automation

• Ability to analyse complex data and processes and present insights clearly to senior audiences

• Strong stakeholder management and communication skills

• Experience working in consulting, private equity, financial services, or complex enterprise environments

• Right to work in the UK

Desirable Skills & Experience

• Exposure to AI/ML concepts (e.g. machine learning models, NLP, RPA, decision intelligence)

• Experience with data platforms, cloud ecosystems, or analytics tools

• Knowledge of post-merger integration (PMI) frameworks

• Agile certifications (e.g. Scrum, SAFe, or equivalent)

• Experience supporting PE-backed or high-growth organisations
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Job description
Our Story & Purpose:

We’re Vancity, a member-owned credit union built on the principles of inclusion and social justice. Since 1946, our relentless commitment to these values has helped us challenge the status quo and break down barriers. We’ve made bold commitments to become net-zero by 2040 across all mortgages and loans, and we’re actively pursuing strategies in Indigenous banking and financia...l resilience for our members.

As the largest private sector Living Wage Employer in Canada, we’re proud to be consistently recognized as one of the country’s Top Employers. If you’re ready to join our team of 2,300 diverse individuals, access competitive rewards and benefits, and be part of a greater movement - apply today!

Your Role in Supporting Our Members:

We are establishing a GenAI & Cognitive AI Pod and are seeking a Senior Manager, Generative AI to lead this team. This role is both people leader and technical leader, responsible for shaping GenAI architecture, driving delivery, and building a high performing team.

You will own large language model (LLM) based solutions, agentic AI systems, and GenAI platforms, working closely with Applied ML, Intelligent RPA, platform, and security teams to bring cognitive automation use cases into production.

This is a Full-time, Permanent role and will report directly to the Director, AI Centre of Excellence. Our head office is based in Vancouver, but we are open to candidates in BC and Ontario. While this position is for an existing vacancy and provides a hybrid work arrangement, you will be expected to be on-site for events and business demands when needed.

How You'll Make an Impact:

Lead GenAI & Cognitive AI Delivery

• Leading the design, development, and deployment of Generative AI and agentic AI solutions

• Owning end-to-end delivery of LLM use cases, from feasibility and PoC through production

• Overseeing RAG architectures, GenAI APIs, agent orchestration, and cognitive automation patterns

• Building and operationalizing experimentation and evaluation frameworks, hands-on with accuracy measurement, benchmarking, and continuous improvement of GenAI, RAG, and agentic AI systems.

Architecture & Platform Ownership

• Defining and owning GenAI reference architectures across Azure and Databricks

• Establishing best practices for:

• Azure OpenAI usage patterns

• RAG design and vector search

• Agent frameworks and tool calling architectures

• Secure and responsible GenAI deployment

• Ensuring solutions meet enterprise security, privacy, and governance requirements

People & Pod Leadership

• Building and lead the GenAI & Cognitive AI Pod, including:

• GenAI Engineers

• Cognitive UX / Conversational Designers

• Providing technical mentorship, coaching, and performance management

• Establishing delivery rituals, engineering standards, and a strong culture of learning and accountability

Stakeholder Collaboration

• Partnering with AI leadership, managers, and senior managers to shape the GenAI roadmap

• Translating business needs into scalable GenAI and cognitive automation solutions

• Communicating technical tradeoffs, risks, and recommendations to technical and nontechnical audiences

What You’ll Bring to the Team:

• 9-12 years of experience in AI, ML, data, or software engineering roles

• Masters or PhD degree in Computer Science, Software Engineering, or a related fields

• 4+ years of hands-on experience with Generative AI and Agentic AI concepts, including LLMs, RAG, and AI agents

• 3+ years of architecture experience, designing scalable, cloud based AI systems

• 2+ years of experience working with Azure, including Azure AI Foundry or related AI services

• Demonstrated experience deploying AI/ML models into production environments

• Strong knowledge of Generative AI and LLM ecosystems

• Experience with Databricks for data engineering, ML, or GenAI workflows

• Extensive experience with the Microsoft Azure AI ecosystem, covering Azure AI Services, Azure OpenAI, and Copilot Studio.

• Thorough knowledge of RAG, NLP, CLU, conversational AI, and the latest Agentic AI architectures.

• Familiarity with:

• RAG pipelines and vector databases

• Agentic AI patterns (planners, tools, memory, orchestration)

• CI/CD, MLOps, and cloud native deployment practices

• Proven people management experience, including coaching and team development

• Strong stakeholder management and communication skills

• Ability to operate in ambiguity and lead through influence

• Results-oriented mindset with a strong sense of ownership

Extra Skills That Set You Apart:

• Experience integrating GenAI solutions with Robotic Process Automation (RPA) or automation platforms

• Knowledge of Responsible AI, model risk management, or AI governance

• Experience working within an AI Centre of Excellence or platform team

• Background in applied ML, decision intelligence, or cognitive systems

You’ll Thrive Here If You Are:

• A Hands- On Technical Leader: You are able to define GenAI and agentic AI technical vision, lead architecture decisions, and actively contribute to building, experimenting, and deploying LLM based solutions aligned to business outcomes.

• Technically Fluent in Modern AI Platforms: You are deeply experienced with Azure, Databricks, and cloud native AI architectures, including GenAI deployment patterns, RAG pipelines, agent frameworks, and production grade model lifecycle management.

• A Strategic Leader: You are strong at partnering with engineers, designers, managers, and senior leaders—translating complex GenAI concepts, risks, and tradeoffs into clear, actionable insights that drive decisions and delivery.

We value lived experience, so if you are interested in this role, we encourage you to apply even if you

feel your skills don't perfectly align with those listed.

What You’ll Earn:

This role offers a salary range of $141,100 to $174,300 per annum. The base pay offered may vary depending on factors such as relevant qualifications, skills, previous experience, and internal equity. As part of our total rewards package, employees may also be eligible for our annual incentive program, subject to program eligibility requirements.

Why You’ll Love Working Here:

A career at Vancity is more than just a job, you’re joining a tradition of change-makers who are creating lasting change for our communities. Beyond base pay, we offer a comprehensive total rewards package to ensure our employees are empowered to thrive:

• Living Wage Employer: We’re the largest private-sector Living Wage Employer in Canada and consistently ranked among Canada’s Top Employers.

• Customizable Benefits: Permanent employees receive flexible benefit packages that can be tailored annually to meet evolving needs.

• Generous Vacation: New employees start with 3-4 weeks of vacation per year, with additional days earned over time.

• Extra Stat Holidays: In addition to BC’s 11 statutory holidays, we offer 2 extra days, plus care days for personal or family illness.

• Immediate Health Coverage: Health and dental benefits begin on your hire date, with three levels of coverage to choose from.

• Defined Benefit Pension: Our retirement plan provides a guaranteed income for life, recognizing that retirement looks different for everyone.

Vancity Talent Programs:

Vancity supports an inclusive hiring process for candidates who self-identify as Indigenous, Black, or Trans. With special permission from the BC Human Rights Commissioner, this initiative provides access to career development opportunities, prioritized job screening, and feedback. Any information you choose to share will be stored securely and used only for recruitment and career development connected to this initiative, in line with the BC Personal Information Protection Act (PIPA). For details, please see our dedicated Talent Programs job posting.

This role is an open vacancy, and our hiring process is grounded in fairness, transparency, and inclusion. We are committed to an inclusive, barrier-free and accessible recruitment experience for all candidates. If you require any accommodations or support at any stage of the recruitment process (including the application stage), we encourage you to let us know by contacting our Talent Acquisition team at recruitment@vancity.com. We’re here to work with you to ensure your needs are met promptly and effectively. All requests will be handled with the utmost respect and confidentiality, so you can participate fully in the process.
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Job highlights
Identified by Google from the original job post
Qualifications
• Ideal candidates bring a strong AI foundation, consulting-led problem solving, and the ability to work directly with senior business and technology leaders
• 15+ years in management consulting, AI, analytics, or digital transformation
• Strong AI background (ML, analytics, GenAI concepts, AI platforms)
• Proven experience delivering enterprise AI programs
• Excellent executive communication and leadership skills
• Must be based in or willing to work from Atlanta, GA
• 3 more items(s)
Responsibilities
• Define and execute AI strategies aligned to business priorities
• Identify and deliver high-impact AI / GenAI use cases
• Lead end-to-end AI initiatives (use case build deploy adoption)
• Act as a trusted advisor to senior stakeholders
• Bridge business, data, and technology teams
• 2 more items(s)
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Job description
Role: AI Strategy & Execution Consultant

Location: Atlanta, GA (Hybrid/Onsite)

Overview:

We are looking for experienced AI consultants to help drive enterprise AI initiatives from strategy through execution. Ideal candidates bring a strong AI foundation, consulting-led problem solving, and the ability to work directly with senior business and technology leaders.

Key Responsibilities:

Define an...d execute AI strategies aligned to business priorities

• Identify and deliver high-impact AI / GenAI use cases

• Lead end-to-end AI initiatives (use case build deploy adoption)

• Act as a trusted advisor to senior stakeholders

• Bridge business, data, and technology teams

Required Experience:

• 15+ years in management consulting, AI, analytics, or digital transformation

• Strong AI background (ML, analytics, GenAI concepts, AI platforms)

• Proven experience delivering enterprise AI programs

• Prior experience at a top consulting firm (McKinsey, BCG, Bain, Deloitte, Accenture, etc.) strongly preferred

• Excellent executive communication and leadership skills

Location Requirement:

• Must be based in or willing to work from Atlanta, GA
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Job highlights
Identified by Google from the original job post
Qualifications
• 15+ years of experience in software development with significant focus on AI architecture and system design
• Proven experience designing distributed, scalable, and high-availability systems
• Strong hands-on experience with Microsoft Azure
• Proficiency in Python
• Mandatory healthcare domain experience, preferably in the Payer domain
• 1–2 years of hands-on GenAI experience, specifically on Azure, with production deployment exposure
• Hands-on experience with CI/CD and infrastructure automation, including Azure Pipelines and Bicep
• Terraform experience acceptable with readiness to transition to Bicep
• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
• 6 more items(s)
Responsibilities
• Define’s Client enterprise AI strategy and architecture, including platform selection, LLM evaluation, governance model, technical standards, and alignment with Client’s long-term digital and analytics roadmap
• Lead the assessment and selection of AI platforms, LLMs, vector databases, orchestration layers, and supporting components, ensuring technology recommendations are vendor neutral and based on Client’s use cases, data landscape, regulatory requirements, and scalability needs
• Identify, evaluate, and prioritize business processes, workflows, and functions suitable for AI enablement, providing clear guidance on where AI should and should not be applied based on business value, risk, feasibility, and compliance considerations
• Design end-to-end solution architectures for approved AI initiatives, including integration patterns, data flows, model hosting, API interfaces, prompt frameworks, guardrails, and monitoring approaches
• Provide hands-on development and technical implementation support on a case-by-case basis, which may include building prototypes, developing automation scripts, designing prompts, integrating APIs, or creating reference implementations
• Collaborate with Client’s engineering, data, security, and product teams to ensure AI solutions align with enterprise architecture, data governance, privacy/security standards, and compliance requirements (including HIPAA)
• Establish and document AI best practices, including coding patterns, evaluation frameworks, testing approaches, prompt design standards, and model performance monitoring guidelines
• Support change management, training, and capability uplift initiatives, helping Client teams understand how to adopt, scale, and maintain AI solutions across the enterprise
• Provide ongoing advisory to leadership, offering strategic insights, risk assessments, ROI analysis, and recommendations related to AI investments, vendor partners, operating models, and organizational structure
• Participate in Agile ceremonies and cross-functional planning sessions to ensure AI work aligns with product roadmaps, release plans, and enterprise priorities
• Deliver architectural documentation, solution diagrams, decision logs, and other artifacts required to support clarity, governance, and sustainable adoption across the organization
• 8 more items(s)
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Job description
Purpose of the Role

• Define’s Client enterprise AI strategy and architecture, including platform selection, LLM evaluation, governance model, technical standards, and alignment with Client’s long-term digital and analytics roadmap.

• Lead the assessment and selection of AI platforms, LLMs, vector databases, orchestration layers, and supporting components, ensuring technology recommendations are ...vendor neutral and based on Client’s use cases, data landscape, regulatory requirements, and scalability needs.

Identify, evaluate, and prioritize business processes, workflows, and functions suitable for AI enablement, providing clear guidance on where AI should and should not be applied based on business value, risk, feasibility, and compliance considerations.

• Design end-to-end solution architectures for approved AI initiatives, including integration patterns, data flows, model hosting, API interfaces, prompt frameworks, guardrails, and monitoring approaches.

• Provide hands-on development and technical implementation support on a case-by-case basis, which may include building prototypes, developing automation scripts, designing prompts, integrating APIs, or creating reference implementations.

• Collaborate with Client’s engineering, data, security, and product teams to ensure AI solutions align with enterprise architecture, data governance, privacy/security standards, and compliance requirements (including HIPAA).

• Establish and document AI best practices, including coding patterns, evaluation frameworks, testing approaches, prompt design standards, and model performance monitoring guidelines.

• Support change management, training, and capability uplift initiatives, helping Client teams understand how to adopt, scale, and maintain AI solutions across the enterprise.

• Provide ongoing advisory to leadership, offering strategic insights, risk assessments, ROI analysis, and recommendations related to AI investments, vendor partners, operating models, and organizational structure.

• Participate in Agile ceremonies and cross-functional planning sessions to ensure AI work aligns with product roadmaps, release plans, and enterprise priorities.

• Deliver architectural documentation, solution diagrams, decision logs, and other artifacts required to support clarity, governance, and sustainable adoption across the organization.

Required Qualifications

• 15+ years of experience in software development with significant focus on AI architecture and system design

• Proven experience designing distributed, scalable, and high-availability systems

• Strong hands-on experience with Microsoft Azure

• Proficiency in Python

• Mandatory healthcare domain experience, preferably in the Payer domain

• 1–2 years of hands-on GenAI experience, specifically on Azure, with production deployment exposure

• Hands-on experience with CI/CD and infrastructure automation, including Azure Pipelines and Bicep

• Terraform experience acceptable with readiness to transition to Bicep

• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders

Preferred / Nice-to-Have

• Azure certifications (e.g., Azure Solutions Architect Expert)

• Experience working with regulated environments (HIPAA compliance)

• Exposure to multi-cloud or hybrid cloud architectures

• Experience influencing architecture decisions at an enterprise level
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Job highlights
Identified by Google from the original job post
Qualifications
• We are looking for someone who has built and shipped AI systems into production and understands the challenges of scalable inference and model serving
• Strong Python development experience (3.10+)
• Hands-on experience building production APIs with FastAPI
• Experience with HuggingFace Transformers and PyTorch
• Solid understanding of REST API design
• Experience deploying containerized applications with Docker
• 3 more items(s)
Responsibilities
• This role focuses on developing high-performance APIs for model inference, optimizing GPU workloads, and deploying AI services in cloud environments
• Develop high-performance APIs using Python (3.10+) and FastAPI
• Build and deploy LLM inference services using HuggingFace Transformers and PyTorch
• Optimize GPU workloads and CUDA memory usage
• Implement streaming inference APIs for real-time model responses
• Containerize and deploy services using Docker and GPU-enabled infrastructure
• Deploy AI workloads in Azure environments (AKS, ACI, or Container Apps)
• 4 more items(s)
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Job description
We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance APIs for model inference, optimizing GPU workloads, and deploying AI services in cloud environments.

This is an engineering-focused role, not research. We are looking for someone who has built and ship...ped AI systems into production and understands the challenges of scalable inference and model serving.

Key Responsibilities

• Develop high-performance APIs using Python (3.10+) and FastAPI

• Build and deploy LLM inference services using HuggingFace Transformers and PyTorch

• Optimize GPU workloads and CUDA memory usage

• Implement streaming inference APIs for real-time model responses

• Containerize and deploy services using Docker and GPU-enabled infrastructure

• Deploy AI workloads in Azure environments (AKS, ACI, or Container Apps)

Required Skills

• Strong Python development experience (3.10+)

• Hands-on experience building production APIs with FastAPI

• Experience with HuggingFace Transformers and PyTorch

• Solid understanding of REST API design

• Experience deploying containerized applications with Docker
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Job highlights
Identified by Google from the original job post
Qualifications
• Strong track record landing production systems in the real world (e.g., manufacturing robots, AVs, humanoid robots, warehouse robots)
• Expertise in modern AI approaches to robotics such as end-to-end learning, self-supervision, representation learning, zero-shot and one-shot learning
• Deep understanding of deep learning, reinforcement learning, and computer vision
• Experience with production Python
• Experience with simulation frameworks (e.g., Omniverse)
• Excellent communication and teamwork skills
• Solve a massive set of real-world problems that require scalable earth moving
• Accomplish that via deploying and expanding cutting edge tech
• 5 more items(s)
Benefits
• Run your workstreams with the largest degree of autonomy
• Have an opportunity for rapid growth and a large voice on the direction of the company
• Receive company funded medical, dental, vision, 401k, life insurance, gourmet food & perks
• Experience a strong onsite collaboration (AIM offices, labs and proving grounds on the east side of the Greater Seattle area)
• Have an opportunity to travel to unique sites around the world (Americas, Australia, Africa & more)
• 2 more items(s)
Responsibilities
• In this role, you will be responsible for developing and implementing novel AI approaches that enable robots to interact with and modify the physical world
• You will have the opportunity to work on cutting-edge projects that involve perception, navigation, planning, and control
• Develop and implement novel embodied AI algorithms for real world robotics
• Design and conduct experiments to expand the range and quality of AI skills
• Collaborate with other engineers to integrate with production systems
• Cleverly leverage expert data, sim, and RL for scalable skill acquisition
• Stay up-to-date on the latest advances in AI and robotics
• 4 more items(s)
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Job description
AIM has been built by a team of engineers who landed cutting-edge systems at Google, Waymo, SpaceX, Tesla, Apple, Dropbox, Stripe, Google[x] and Microsoft, and are backed by General Catalyst, Elad Gil, Human Capital, Ironspring Ventures, Mantis, DCVC, among other great allies.

AIM is terraforming this planet with embodied robotics. We're seeking talented and passionate engineers to join our growi...ng team. In this role, you will be responsible for developing and implementing novel AI approaches that enable robots to interact with and modify the physical world. You will have the opportunity to work on cutting-edge projects that involve perception, navigation, planning, and control.

Responsibilities

• Develop and implement novel embodied AI algorithms for real world robotics

• Design and conduct experiments to expand the range and quality of AI skills

• Collaborate with other engineers to integrate with production systems

• Cleverly leverage expert data, sim, and RL for scalable skill acquisition

• Stay up-to-date on the latest advances in AI and robotics

Qualifications

• Strong track record landing production systems in the real world (e.g., manufacturing robots, AVs, humanoid robots, warehouse robots)

• Expertise in modern AI approaches to robotics such as end-to-end learning, self-supervision, representation learning, zero-shot and one-shot learning

• Deep understanding of deep learning, reinforcement learning, and computer vision

• Experience with production Python

• Experience with simulation frameworks (e.g., Omniverse)

• Excellent communication and teamwork skills

Joining AIM, you will

• Solve a massive set of real-world problems that require scalable earth moving

• Accomplish that via deploying and expanding cutting edge tech

• Run your workstreams with the largest degree of autonomy

• Have an opportunity for rapid growth and a large voice on the direction of the company

• Receive company funded medical, dental, vision, 401k, life insurance, gourmet food & perks

• Experience a strong onsite collaboration (AIM offices, labs and proving grounds on the east side of the Greater Seattle area)

• Have an opportunity to travel to unique sites around the world (Americas, Australia, Africa & more)

AIM is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. AIM's General Privacy Policy

If you are interested in applying please send an updated resume directly to careers@machines.run.
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Job highlights
Identified by Google from the original job post
Qualifications
• Currently enrolled in accredited bachelor's degree program, with anticipated graduation date of Spring 2026
• Candidates must have unrestricted authorization to work in the United States
• Ability to start full-time in Boston, MA, Bellevue, WA or Plantation, FL on July 13, 2026
• Demonstrated ability to build real AI systems, such as LLM-powered applications, retrieval pipelines, agentic workflows, multimodal tools, fine-tuned models, or custom integrations
• Proficiency in Python and hands-on experience implementing AI applications or prototypes beyond classroom assignments
• Ability to take an ambiguous technical problem and make it concrete, identifying data needs, architectural options, and feasible solution paths
• Experience with one or more of the following: vector databases, embeddings, RAG architectures, cloud compute or backend services for AI workloads, model orchestration or agent frameworks, and data engineering for unstructured or semi-structured data
• Comfort operating in high-autonomy, high-expectation environments where initiative and curiosity drive progress
• Evidence of iterative engineering instincts, rapid prototyping, disciplined experimentation, and learning through building
• 6 more items(s)
Benefits
• A portfolio of work (projects, research, open-source contributions, prototypes, etc.) demonstrating how you think and what you build
• The annualized salary for this Fellowship is $135,000 (fixed), with a $50,000.00 completion bonus, structured as follows:
• Immersion Phase (3-months): $33,750
• Acceleration Phase (9-months): $101,250
• $50,000 completion bonus for completion of the full Fellowship
• Progression to the Acceleration Phase and receipt of the $50,000 completion bonus is subject to applicable program terms and eligibility criteria
• This position is also eligible to participate in Chewy’s benefits programs, which include medical, dental, and vision coverage; a 401(k) retirement savings plan; relocation stipend; and other standard employee benefits including 10% off pet insurance and 20% off at Chewy.com
• Exempt salary team members have unlimited PTO, subject to manager approval
• Team members will receive six paid holidays per year
• Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations
• 7 more items(s)
Responsibilities
• Program Length: Up to 12 months (3-month immersion phase + 9-month acceleration phase)
• Those who successfully meet or exceed all performance expectations during the immersion phase will advance into the nine-month acceleration phase, focused on delivering production-ready AI systems that scale across Chewy and create meaningful, real-world impact
• Design, prototype, and implement AI-driven systems using modern LLMs, multimodal models, agent frameworks, retrieval architectures, and supporting infrastructure
• Build end-to-end solutions, including data ingestion, preprocessing, model integration, evaluation pipelines, orchestration logic, and application-level components
• Engineer scalable, reliable prototypes that evolve into well-structured systems suitable for operational use across Chewy
• Conduct technical discovery within defined problem spaces—analyzing datasets, workflows, constraints, and automation opportunities
• Collaborate with product, engineering, data science, operations, and subject-matter experts to ensure feasibility and maximize real-world impact
• Apply rigorous experimentation, error analysis, and performance optimization to refine approaches and improve system quality
• Implement backend services, pipelines, and interfaces leveraging Python, cloud technologies, vector stores, knowledge graphs, and modern AI tooling
• Document architectures, assumptions, and implementation details clearly and thoroughly for handoff or continued development
• Communicate technical progress and insights to stakeholders, including senior technical and business leaders
• Maintain a consistently high bar for technical craftsmanship, innovation, and execution—contributing meaningfully to the cohort’s impact
• 9 more items(s)
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Job description
Job Description:

Unbound AI Innovator Fellowship Program

Locations: Bellevue, WA • Boston, MA • Plantation, FL

Program Length: Up to 12 months (3-month immersion phase + 9-month acceleration phase)

The Opportunity:

The Unbound AI Innovator Fellowship is a fast-paced, immersive program within Chewy’s AI & Data Innovation organization. Designed for builders discovering Chewy for the first time,... the fellowship invites participants to bring fresh perspective, technical curiosity, and bold thinking to teams eager to push the boundaries of what’s possible with AI. Fellows will join a team in Bellevue, WA; Boston, MA; or Plantation, FL, collaborating with peers and leaders to explore ambitious problem spaces and build solutions that shape Chewy’s future.

As a Fellow, you’ll be part of a team of 4–6 emerging innovators selected for creativity, technical strength, and a passion for building. Fellows will begin the program with a three-month immersion phase where you’ll work in rapid, collaborative sprints to investigate opportunities, test concepts, and demonstrate high-quality execution. Those who successfully meet or exceed all performance expectations during the immersion phase will advance into the nine-month acceleration phase, focused on delivering production-ready AI systems that scale across Chewy and create meaningful, real-world impact.

What You’ll Do:

• Design, prototype, and implement AI-driven systems using modern LLMs, multimodal models, agent frameworks, retrieval architectures, and supporting infrastructure

• Build end-to-end solutions, including data ingestion, preprocessing, model integration, evaluation pipelines, orchestration logic, and application-level components

• Engineer scalable, reliable prototypes that evolve into well-structured systems suitable for operational use across Chewy

• Conduct technical discovery within defined problem spaces—analyzing datasets, workflows, constraints, and automation opportunities

• Collaborate with product, engineering, data science, operations, and subject-matter experts to ensure feasibility and maximize real-world impact

• Apply rigorous experimentation, error analysis, and performance optimization to refine approaches and improve system quality

• Implement backend services, pipelines, and interfaces leveraging Python, cloud technologies, vector stores, knowledge graphs, and modern AI tooling

• Document architectures, assumptions, and implementation details clearly and thoroughly for handoff or continued development

• Communicate technical progress and insights to stakeholders, including senior technical and business leaders

• Maintain a consistently high bar for technical craftsmanship, innovation, and execution—contributing meaningfully to the cohort’s impact

What You’ll Need

• Currently enrolled in accredited bachelor's degree program, with anticipated graduation date of Spring 2026

• Candidates must have unrestricted authorization to work in the United States. This role is not eligible for visa sponsorship

• Ability to start full-time in Boston, MA, Bellevue, WA or Plantation, FL on July 13, 2026

• Demonstrated ability to build real AI systems, such as LLM-powered applications, retrieval pipelines, agentic workflows, multimodal tools, fine-tuned models, or custom integrations

• Proficiency in Python and hands-on experience implementing AI applications or prototypes beyond classroom assignments

• Ability to take an ambiguous technical problem and make it concrete, identifying data needs, architectural options, and feasible solution paths

• Experience with one or more of the following: vector databases, embeddings, RAG architectures, cloud compute or backend services for AI workloads, model orchestration or agent frameworks, and data engineering for unstructured or semi-structured data

• Comfort operating in high-autonomy, high-expectation environments where initiative and curiosity drive progress

Bonus:

• Evidence of iterative engineering instincts, rapid prototyping, disciplined experimentation, and learning through building

• A portfolio of work (projects, research, open-source contributions, prototypes, etc.) demonstrating how you think and what you build

Compensation:

The annualized salary for this Fellowship is $135,000 (fixed), with a $50,000.00 completion bonus, structured as follows:

• Immersion Phase (3-months): $33,750

• Acceleration Phase (9-months): $101,250

• $50,000 completion bonus for completion of the full Fellowship

Progression to the Acceleration Phase and receipt of the $50,000 completion bonus is subject to applicable program terms and eligibility criteria.

This position is also eligible to participate in Chewy’s benefits programs, which include medical, dental, and vision coverage; a 401(k) retirement savings plan; relocation stipend; and other standard employee benefits including 10% off pet insurance and 20% off at Chewy.com.

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
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Job description
Our Story & Purpose:

We’re Vancity, a member-owned credit union built on the principles of inclusion and social justice. Since 1946, our relentless commitment to these values has helped us challenge the status quo and break down barriers. We’ve made bold commitments to become net-zero by 2040 across all mortgages and loans, and we’re actively pursuing strategies in Indigenous banking and financia...l resilience for our members.

As the largest private sector Living Wage Employer in Canada, we’re proud to be consistently recognized as one of the country’s Top Employers. If you’re ready to join our team of 2,300 diverse individuals, access competitive rewards and benefits, and be part of a greater movement - apply today!

Your Role in Supporting Our Members:

We are seeking a Senior Gen AI Engineer to join our GenAI & Cognitive AI Pod, focused on building production ready Generative AI & Agentic AI solutions that support cognitive reasoning, automation, and decisioning.

This role is highly hands-on and best suited for a software engineer who understands AI deeply enough to build, deploy, and operate GenAI systems at scale. You will work closely with GenAI leadership, AI engineers, ML engineers, and RPA teams to design and deliver LLM based workflows, agentic pipelines, and GenAI APIs.

This is a highly hands on engineering role; success is measured by production ready GenAI systems, not slideware or experimentation alone.

This is a Full-time, Permanent role based at our Head Office, in Vancouver, British Columbia, and reporting to, Director of Artificial Intelligence (AI) Centre of Excellence.

Our head office is based in Vancouver, but we are open to candidates in BC and Ontario. While this position is for an existing vacancy and provides a hybrid work arrangement, you will be expected to be on-site for events and business demands when needed.

How You'll Make an Impact:

Build & Deliver GenAI Solutions

• Building end to end LLM workflows, from data ingestion and retrieval through inference and response orchestration

• Designing and implementing agentic AI pipelines that support decisioning, verification, and cognitive automation

• Developing GenAI use cases including:

- Documenting intelligence and verification

- Communication mining and NLP

- Knowledge retrieval and reasoning (RAG)

- Agent based decision orchestration

• Tune and optimize LLM usage (prompting strategies, embeddings, retrieval quality, latency, and cost)

RAG, NLP & Classic ML Techniques

• Design and implement Retrieval Augmented Generation (RAG) pipelines, including indexing, chunking, embeddings, and retrieval strategies

• Apply classic ML and NLP techniques where appropriate to improve accuracy, classification, extraction, or ranking

• Collaborate with Data Science and ML Engineering partners to integrate predictive models into GenAI workflows

Cloud, Pipelines & Deployment

• Build and deploy GenAI solutions on cloud (i.e. Azure and Databricks), following cloud native best practices

• Implement API services to expose GenAI capabilities for downstream consumers (including RPA and business applications)

• Contribute to CI/CD and deployment pipelines for GenAI workloads, including environment management and release practices

• Partner with platform and cloud teams to ensure solutions are scalable, secure, and production ready

Integration & Collaboration

• Integrate GenAI services with RPA workflows (UiPath) and existing ML pipelines

• Work closely with:

- GenAI & Agentic AI Lead

- AI Engineers and Full Stack AI Developers

- Cognitive UX / Prompt Engineers

• Participating in agile delivery rituals (stand-ups, planning, demos) and contribute to shared engineering standards

What You’ll Bring to the Team:

• 4-7 years of experience in software engineering, AI engineering, or ML adjacent engineering roles

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

• Strong hands on experience building and deploying cloud based services, with fluency in cloud (preferably Azure)

• Practical experience working with Generative AI and LLM concepts, including RAG and agentic workflows

• Proven ability to take solutions from prototype to production

• Excellent Python and SQL skills (production quality code, data pipelines, APIs)

• Strong understanding of:

• LLM workflows and orchestration

• Prompt engineering and retrieval strategies

• API design and service integration

• CI/CD concepts and cloud deployment patterns

• Experience with agent frameworks or tool calling architectures

Extra Skills That Set You Apart:

• Experience with Azure AI services (e.g., Azure OpenAI, Azure ML concepts)

• Experience with Databricks for data processing, ML, or GenAI workflows

• Familiarity with document intelligence, OCR, NLP, or communication mining

• Exposure to MLOps / GenAIOps concepts (model lifecycle, monitoring, evaluation)

• Experience integrating AI services into RPA or automation platforms (i.e. UI Path, Power Automate)

• Familiarity with other cloud ecosystems (AWS or GCP)

You’ll Thrive Here If You Are:

• A Hands on Automation Builder: You enjoy writing, testing, and deploying automations that work reliably in real production environments.

• Technically Curious: You’re interested in how RPA can be enhanced with AI, Agentic workflows, and cloud services to solve more complex problems.

• Collaborative: You work well with architects, AI engineers, and business partners, and you value shared standards and reusable solutions.

• Quality Driven: You care about robustness, error handling, and maintainability, not just getting something to work once.

We value lived experience, so if you are interested in this role, we encourage you to apply even if you feel your skills don't perfectly align with those listed.

What You’ll Earn:

This role offers a salary range of $125,000 - $154,350 per annum. The base pay offered may vary depending on factors such as relevant qualifications, skills, previous experience, and internal equity. As part of our total rewards package, employees may also be eligible for our annual incentive program, subject to program eligibility requirements.

• **Open until Filled***

Why You’ll Love Working Here:

A career at Vancity is more than just a job, you’re joining a tradition of change-makers who are creating lasting change for our communities. Beyond base pay, we offer a comprehensive total rewards package to ensure our employees are empowered to thrive:

• Living Wage Employer: We’re the largest private sector Living Wage Employer in Canada and consistently ranked among Canada’s Top Employers.

• Customizable Benefits: Permanent employees receive flexible benefit packages that can be tailored annually to meet evolving needs.

• Generous Vacation: New employees start with 3-4 weeks of vacation per year, with additional days earned overtime.

• Extra Stat Holidays: In addition to BC’s 11 statutory holidays, we offer 2 extra days, plus care days for personal or family illness.

• Immediate Health Coverage: Health and dental benefits begin on your hire date, with three levels of coverage to choose from.

• Defined Benefit Pension: Our retirement plan provides a guaranteed income for life, recognizing that retirement looks different for everyone.

Vancity Talent Programs:

Vancity supports an inclusive hiring process for candidates who self-identify as Indigenous, Black, or Trans. With special permission from the BC Human Rights Commissioner, this initiative provides access to career development opportunities, prioritized job screening, and feedback. Any information you choose to share will be stored securely and used only for recruitment and career development connected to this initiative, in line with the BC Personal Information Protection Act (PIPA). For details, please see our dedicated Talent Programs job posting.

At Vancity we’re committed to creating a welcoming and inclusive workplace to help our people and communities thrive and prosper. Diversity in our workforce is integral so that we can truly represent, understand and respond to our community needs and deliver our member experience.

This role is an open vacancy, and our hiring process is grounded in fairness, transparency, and inclusion. We are committed to an inclusive, barrier-free and accessible recruitment experience for all candidates. If you require any accommodations or support at any stage of the recruitment process (including the application stage), we encourage you to let us know by contacting our Talent Acquisition team at recruitment@vancity.com. We’re here to work with you to ensure your needs are met promptly and effectively. All requests will be handled with the utmost respect and confidentiality, so you can participate fully in the process.
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Job highlights
Identified by Google from the original job post
Qualifications
• Bachelor's degree or equivalent practical experience
• 6 years of experience in management consulting, strategy, operations, technology, or a similar field
• Experience creating insights using SQL and other problem-solving tools to present findings and recommendations
Benefits
• The US base salary range for this full-time position is $153,000-$222,000 + bonus + equity + benefits
• Our salary ranges are determined by role, level, and location
• Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training
• Your recruiter can share more about the specific salary range for your preferred location during the hiring process
• Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits
• 2 more items(s)
Responsibilities
• In addition to building the upfront Go-to-Market Strategy, we have a deep understanding of the end-to-end customer journey and work with our sellers to build enablement and solutions
• Additionally, we work closely with the product team to shape our direction based on customer feedback
• Influence executive-level decision making through deep, scalable, and actionable analytical insights into core business decisions such as prioritization of growth opportunities
• Structure and communicate, ambiguous, and testing business issues to advise the Google Cloud Sales leadership team
• Build reports, dashboards, models, and tools to analyze, report, and present operations-related data that is associated with customer pipeline, product usage, bookings forecasting, and business productivity
• Provide insights to the business through analysis of bookings, activity, and product data to drive greater efficiency and effectiveness of our sales teams
• Lead planning, goals setting, territory design, expansion plans, and managing the rhythm of the business activities, such as periodical business reviews, forecast calls, staffing meetings and other cadenced reporting and metrics
• 4 more items(s)
More job highlights
Job description
The application window will be open until at least March 18, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA.

Minimum qualifications:

• Ba...chelor's degree or equivalent practical experience.

• 6 years of experience in management consulting, strategy, operations, technology, or a similar field.

• Experience creating insights using SQL and other problem-solving tools to present findings and recommendations.

Preferred qualifications:

• Experience in planning, consulting, investment banking, or similar data-driven business roles.

• Experience with SQL and other database, scripting, or business intelligence tools.

• Ability to influence business leadership with investigative skills, combined with business judgment.

• Excellent communication skills, with the ability to construct simple and impactful messages from complex analysis.

About the job

Our team is focused on building and landing our Global Artificial Intelligence Go-to-Market strategy. We accomplish this by working with: our product team, our salesforce, and global and regional operations. In addition to building the upfront Go-to-Market Strategy, we have a deep understanding of the end-to-end customer journey and work with our sellers to build enablement and solutions. Additionally, we work closely with the product team to shape our direction based on customer feedback. Finally, we work closely with the broader operations organization to ensure all the processes are working together.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $153,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Influence executive-level decision making through deep, scalable, and actionable analytical insights into core business decisions such as prioritization of growth opportunities.

• Structure and communicate, ambiguous, and testing business issues to advise the Google Cloud Sales leadership team.

• Build reports, dashboards, models, and tools to analyze, report, and present operations-related data that is associated with customer pipeline, product usage, bookings forecasting, and business productivity.

• Provide insights to the business through analysis of bookings, activity, and product data to drive greater efficiency and effectiveness of our sales teams.

• Lead planning, goals setting, territory design, expansion plans, and managing the rhythm of the business activities, such as periodical business reviews, forecast calls, staffing meetings and other cadenced reporting and metrics.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Job highlights
Identified by Google from the original job post
Qualifications
• 12+ years in life sciences, including 5+ years in data science, AI/ML, and ML Ops
• Proven expertise in Python, R, TensorFlow, Keras, NLP, deep learning, and big data
• Hands-on experience with cloud platforms (AWS/Azure), ML pipelines, automation, and deployment
• Strong consultative and client-facing experience with a commercial mindset
• Experience in RFP development, solution selling, and delivering AI applications in life sciences
• Patents or publications in AI/ML a strong plus
• 3 more items(s)
Benefits
• Develop and convert pipeline opportunities ($1-3M+ range) by aligning client priorities with Axtria's GenAI and ML offerings
• Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO
• Salary range or hourly pay range for the position
• The salary range for this position is $157,600 to $205,425 annually
• The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data
• The salary may also be adjusted based on applicant's geographic location
• 3 more items(s)
Responsibilities
• This role will focus on scaling Axtria's AI offerings, driving business growth, and delivering innovative solutions for Commercial and Clinical organizations
• Your mandate is to expand strategic partnerships, generate multi-million-dollar revenue streams, and deliver measurable outcomes through the intelligent application of GenAI, predictive modeling, NLP, and agentic workflows
• Lead client engagements and expansion of business focused on GenAI, AI/ML, and ML Ops across Commercial and Clinical functions with top-20 global pharmaceutical clients; craft enterprise AI/ML solutions tailored to brand strategy, GTM, RWE, and patient engagement
• Manage a portfolio P&L with accountability for revenue growth, gross margins, and delivery excellence
• Influence account strategy, pricing models, investment cases, and strategic alliances
• Oversee solution delivery teams (15+ globally), ensuring scientific rigor, innovation velocity, and commercial impact
• Direct end-to-end design and scaling of GenAI pipelines (LLMs, RAG, multi-agent systems), causal inference, field optimization, and omni-channel orchestration solutions
• Lead the development of next-gen agentic architectures that support autonomous decisioning, adaptive learning loops, and personalized interventions
• Drive reusability via domain-specific agent libraries, GenAI prompt kits, and modular ML workflows
• Build and scale a world-class AI/ML and GenAI delivery organization across the US, India, and EU
• Engage in industry forums, contribute to innovation, and enhance Axtria's reputation in the market
• Design solution frameworks to accelerate AI adoption and impact patient outcomes
• Develop and pitch proposals to grow the Data Science practice and Axtria's client base
• 10 more items(s)
More job highlights
Job description
About Axtria

Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes.

Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our... cloud-native platforms-Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™-enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement.

The Opportunity

We are hiring a high-impact Director of Data Science to lead AI/ML and GenAI initiatives across life sciences clients. This role will focus on scaling Axtria's AI offerings, driving business growth, and delivering innovative solutions for Commercial and Clinical organizations.

Key Responsibilities

Your mandate is to expand strategic partnerships, generate multi-million-dollar revenue streams, and deliver measurable outcomes through the intelligent application of GenAI, predictive modeling, NLP, and agentic workflows.

• Lead client engagements and expansion of business focused on GenAI, AI/ML, and ML Ops across Commercial and Clinical functions with top-20 global pharmaceutical clients; craft enterprise AI/ML solutions tailored to brand strategy, GTM, RWE, and patient engagement.

• Manage a portfolio P&L with accountability for revenue growth, gross margins, and delivery excellence.

• Develop and convert pipeline opportunities ($1-3M+ range) by aligning client priorities with Axtria's GenAI and ML offerings.

• Influence account strategy, pricing models, investment cases, and strategic alliances.

• Oversee solution delivery teams (15+ globally), ensuring scientific rigor, innovation velocity, and commercial impact.

• Direct end-to-end design and scaling of GenAI pipelines (LLMs, RAG, multi-agent systems), causal inference, field optimization, and omni-channel orchestration solutions.

• Lead the development of next-gen agentic architectures that support autonomous decisioning, adaptive learning loops, and personalized interventions.

• Drive reusability via domain-specific agent libraries, GenAI prompt kits, and modular ML workflows.

• Build and scale a world-class AI/ML and GenAI delivery organization across the US, India, and EU.

• Engage in industry forums, contribute to innovation, and enhance Axtria's reputation in the market.

• Design solution frameworks to accelerate AI adoption and impact patient outcomes.

• Develop and pitch proposals to grow the Data Science practice and Axtria's client base.

Qualifications

• Bachelor's degree required; MS/PhD in Computer Science or related field preferred.

• 12+ years in life sciences, including 5+ years in data science, AI/ML, and ML Ops.

• Proven expertise in Python, R, TensorFlow, Keras, NLP, deep learning, and big data.

• Hands-on experience with cloud platforms (AWS/Azure), ML pipelines, automation, and deployment.

• Strong consultative and client-facing experience with a commercial mindset.

• Experience in RFP development, solution selling, and delivering AI applications in life sciences.

• Knowledge of digital automation tools (e.g., low/no-code platforms, APIs, DevOps) a plus.

• Patents or publications in AI/ML a strong plus.

Why Join Axtria

• Platform-Led Innovation: Deliver integrated solutions via proprietary platforms like SalesIQ™, InsightsMax™, CustomerIQ™, etc.

• Shape the future of AI in life sciences and make a real impact on healthcare outcomes.

• Industry Impact: Serve 100+ global life sciences clients, including 16 of the top 20 pharma companies.

• Ethical AI Leadership: Join a team driving responsible GenAI innovation across the life sciences value chain.

Additional Details

• Hybrid work model (3 days onsite) Berkeley Heights, NJ OR Waltham, MA & client.

• Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO.

Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics.

Pay Transparency Laws

Salary range or hourly pay range for the position

The salary range for this position is $157,600 to $205,425 annually. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.

The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location.

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Software Engineer with AI Skill Set

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Zero to AI Engineer