We are currently looking for Project Manager- Data & Analytics for our Qatar operations with the following Skill set and terms & conditions.

## Key Responsibilities:

- End-to-end ownership of project delivery including planning execution and closure.
- Manage and engage multiple stakeholders across business units IT teams and external partners.
- Drive project governance through Agile methodologies including sprint planning backlog management and progress tracking using JIRA.
- Facilitate Project Review Working Groups ensuring timely updates risk mitigation and decision-making.
- Oversee vendor coordination and ensure compliance with timelines budgets and quality standards.

## Required Skills and Experience:

- Minimum 12 years of experience in managing large-scale Data and AI projects preferably within banking or financial services.
- Strong technical understanding of data platforms analytics frameworks and AI-driven solutions.
- Proven ability to manage complex stakeholder environments and deliver results under tight deadlines.
- Expertise in Agile project management JIRA and collaborative tools.
- Excellent communication and leadership skills to drive cross-functional alignment.
- GCC or Qatar banking experience is highly desirable.

Joining time frame: 2 weeks (maximum 1 month)

## Terms and conditions:

Joining time frame: maximum 4 weeks

## Remote Work :

No

## Employment Type :

Full-time

Client: Insurance Group

Job Title: HR Project Manager/AI Project Manager/Senior HR Project Manager/Senior AI Project Manager

Location: Toronto, ON (Hybrid 3 days/week)

Duration: 6 months

## Role Summary

- We are seeking a Project Manager to support the delivery of HR artificial intelligence (AI) projects, automation initiatives, and technology enhancements. This role will manage project delivery from planning through implementation and will translate business needs into clear, actionable requirements for delivery teams and technology partners.
- The Project Manager will work across the HR technology landscape and may support initiatives spanning HR operations, recruiting, talent, learning, employee experience, workforce planning, and related HR functions. The role requires strong project execution, structured requirements management, and the ability to coordinate stakeholders across business, technology, data, and delivery teams.
- The successful contractor will help ensure that HR AI projects and enhancements are well-defined, actively managed, and delivered against agreed scope, milestones, dependencies, and quality expectations.

## Key Responsibilities

- Lead project planning and delivery for HR AI, automation, data-related, and HR technology enhancement initiatives from initiation through implementation.
- Develop and maintain integrated project plans covering milestones, deliverables, timelines, dependencies, assumptions, risks, issues, decisions, and resource needs.
- Track delivery progress against approved scope, schedule, milestones, and quality expectations; identify variances early and coordinate corrective actions.
- Gather, analyze, document, and validate business and functional requirements with HR stakeholders, subject-matter experts, delivery teams, and technology partners.
- Translate business needs into clear requirements, user stories, acceptance criteria, prioritized work items, and measurable deliverables.
- Coordinate Agile delivery activities, including backlog refinement, sprint planning, stand-ups, reviews, retrospectives, and release planning as appropriate.
- Maintain accurate project plans, backlogs, work items, status, risks, issues, dependencies, and decisions in Azure DevOps.
- Manage project scope, timelines, dependencies, assumptions, and changes throughout the project lifecycle; escalate material impacts when appropriate.
- Coordinate stakeholders across HR, technology, AI, data, and delivery teams to align expectations, resolve blockers, and support timely decisions.
- Prepare concise, regular status reports for the HR Technology Leader and relevant stakeholders, highlighting progress, upcoming milestones, risks, issues, decisions, actions, and delivery impacts.
- Facilitate stakeholder meetings and decision forums; document action items, owners, due dates, decisions, and follow-up activities through closure.
- Support testing, validation, readiness, deployment, and transition activities for new capabilities and enhancements.
- Maintain complete, organized, and traceable project documentation, including requirements, plans, status reports, decisions, risks, issues, meeting records, and delivery outcomes.
- Identify opportunities to improve project delivery practices, stakeholder alignment, implementation readiness, and adoption of HR technology capabilities.

## Required Qualifications

- Demonstrated experience managing projects involving artificial intelligence, automation, data, analytics, or related technology solutions.
- Experience leading technology projects from initiation through implementation, including planning, requirements, delivery coordination, risk management, and stakeholder communication.
- Strong requirements-management skills, including the ability to elicit, document, prioritize, and validate business and functional requirements.
- Experience working with Agile delivery methods and cross-functional teams.
- Experience using Azure DevOps or a comparable project and work-management platform to manage backlogs, work items, dependencies, and delivery status.
- Ability to communicate clearly with both business and technical audiences and to make complex information understandable.
- Strong organizational, facilitation, problem-solving, and follow-through skills.
- Ability to work independently and effectively in a remote environment.

## Preferred Qualifications

- Experience managing projects in HR, Human Resources technology, or a related business function.
- Experience delivering HR AI, HR automation, or HR technology enhancements.
- Familiarity working with Workday or other enterprise HR platforms.
- Familiarity with HR processes and the needs of HR stakeholders across areas such as recruiting, talent, learning, employee experience, workforce planning, or HR operations.
- Experience supporting user acceptance testing, change readiness, implementation, adoption, or transition to operations.

Mindlance is an equal-opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and a work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process

## About Precognition Labs:

Precognition Labs builds AI agentic systems that expand review and investigation capacity for Trust & Safety, Fraud, Risk & Compliance teams. We focus on high-impact applications of AI where precision, reliability, and responsible deployment are essential. Our team works on technology that directly improves how organizations protect their users and platforms, while shaping the future of AI-driven risk and safety operations.

## The role:

As a Senior/Principal AI Engineer, you’ll design, build, and deploy advanced AI systems that support large-scale review, investigation, and decision-making workflows. You’ll architect our software infrastructure and agentic systems, lead initiatives from concept to production, and raise the technical bar for the whole team.

## What you’ll do:

- Architect software infrastructure and agentic AI systems built for precision, reliability, and scale
- Lead technical initiatives from concept to production, making key design and architecture decisions
- Implement robust models and pipelines, and integrate them into production environments
- Define how we evaluate, monitor, and responsibly deploy AI systems
- Work with product and domain experts to refine requirements and success metrics
- Mentor engineers and set the standard for engineering quality

## What we’re looking for:

- 10+ years of software engineering experience
- In a recent role, you’ve architected software infrastructure and agentic or production-grade AI systems
- A track record of leading initiatives from concept to production
- Strong computer science fundamentals: algorithms, data structures, distributed systems, and software engineering principles
- Proficiency in Python and modern tooling for testing, CI/CD, and monitoring
- Clear communication with technical and non-technical stakeholders, and the ability to work independently
- An advanced degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience in senior or principal engineering roles

## Nice to have:

- Background in Trust & Safety, fraud detection, risk management, or related domains
- Experience with responsible AI, evaluation frameworks, and human-in-the-loop review systems

## Who thrives here:

We’re a small team, so the people who do best here care about AI and safety, bring expertise that makes everyone around them sharper, and enjoy finding a way forward on hard problems. They move quickly, take ownership without waiting to be asked, and put real energy into the work while keeping a clear sense of what matters most.

## Location:

Hybrid, Seattle: 3 days a week in office. Relocation support available for candidates moving to Washington. Visa sponsorship is available for H-1B transfers only; we’re unable to sponsor new visas at this time.

## Compensation:

Base salary of $180K–$240K depending on experience, plus a 25% annual target performance bonus and 0–2% equity over 4 years, scaled by experience.

Precognition Labs is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic.

## Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Lead AI Ops Engineer

## Overview:

Mastercard's Operational Intelligence team is building the next generation of data products and AI solutions that help customers access and use operational insights in new ways. As AI agents move from POC to production, their behavior keeps changing in real time: the context they retrieve, the skills they select, how they resolve exceptions. These agents are never really “finished.” They keep learning from production outcomes, so their reliability, safety, and trustworthiness need to be actively operated, not just monitored. That is the job of AI Ops: making sure each agent’s reasoning stays correct, its context stays current, and its behavior stays governed as it learns.

## Role:

- Own end to end production monitoring for one or more AI agents, tracking key metrics, KPIs, accuracy, latency, SLA breaches, guardrail triggers, and out of scope rates through dedicated observability dashboards
- Serve as L1/L2 production support, providing first response monitoring, triage, and escalation to tech teams as new agentic services go live
- Identify and diagnose issues by monitoring eval scores and drift alerts, inspecting failing traces and patterns, and classifying root causes such as intent, tool, parameter, or hallucination errors
- Evaluate whether the agent’s reasoning remains correct in production, checking whether context retrieval stays current, whether resolutions match ground truth, and whether the learning loop is drifting
- Monitor and manage post production reliability, including API and authentication failures and issues originating from external AI endpoints, to protect revenue generating, client facing agents
- Partner with AI Engineering to prioritize fixes, run experiments on prompts, context, and routing in Dev, and validate improvements via evals before handing off proven changes for deployment
- Embed governance within the agent’s learning loop so that approval workflows and audit logging travel with every production change, rather than being added after the fact

## All About You:

- Experience monitoring or operating production AI/ML or agentic systems, including observability, evaluation, and drift detection practices
- Strong analytical skills to diagnose root causes across intent classification, tool selection, parameter errors, and hallucination patterns
- Understanding of AI/LLM observability concepts such as tracing, telemetry, guardrails, and evaluation engineering including benchmarks, automated evals, human review, and regression testing
- Familiarity with governance, compliance, and responsible AI practices such as PII detection, access control, audit logging, and policy enforcement is a plus
- Ability to work independently alongside existing Tech teams while owning a dedicated agent’s post launch health
- Excellent communication skills to translate production signals into clear, prioritized asks for AI Product and AI Engineering teams
- Comfort working in a fast evolving environment where the process itself, not just the throughput, is what is being continuously operated on and improved

## Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

- Abide by Mastercard’s security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

All of our team members and contributors are expected to deliver results with accountability while collaborating seamlessly across boundaries. They embrace change with resilience, staying curious and learning continuously in a rapidly evolving landscape. Grounded in business understanding and comfortable with AI and digital tools, they solve problems with critical thinking and creativity. Above all, they are driven to serve—ensuring their work creates meaningful impact for members and the community we support.

For leadership roles, we seek individuals who think critically, embrace a future-focused mindset, and bring intentional perspective to their work —whether managing people, leading projects, or guiding teams. Our ideal candidates operate across matrix environments, applying systems thinking and evidence-based decision-making to drive sustainable results with economic discipline. We value those who lead change with courage and conviction, building trust across teams, and orchestrating both human and AI capabilities to amplify impact. Across all roles - managing direct reports, leading projects, or advancing individual expertise - they cultivate resources, strengthen capabilities, and create conditions for people and work to thrive. Above all, they are committed to building durable value—decisions and actions today that compound organizational strength tomorrow.

## Job Summary

Critical leadership role responsible for setting technology strategy and architecture direction for Engagement Technology. Drives cloud migration, architectural simplification, and AI adoption across products and engineering practice. Partners with Enterprise Architecture, the AI COE, Data COE, Security, and peer engineering leaders. Must be credible with engineers and persuasive with executives.

## Key Requirements

- Engagement Technology strategy and architecture: drive the target-state architecture across product, platform, and integration domains; lead solution architecture for major initiatives; drive architectural simplification and legacy retirement; establish architecture governance and the design review process; and translate business strategy into technical direction.
- Enterprise collaboration and influence: serve as the primary interface to Enterprise Architecture; partner with the AI Engineering, Data, Security, and Infrastructure COEs; represent the group in enterprise architecture forums; and build relationships with peer leaders to secure alignment.
- AI SDLC transformation: own the AI SDLC transformation within Engagement Technology; select, pilot, and scale AI engineering tooling; establish standards, guardrails, and secure usage patterns; define and track adoption and productivity measures; and drive enablement, training, and change management.
- Cloud migration and modernization: own the cloud migration strategy and execution roadmap; define migration patterns and target cloud architecture; partner with Infrastructure, Security, and FinOps; and provide executive visibility into progress and cost.
- Leadership: lead and grow a high-caliber team, mentor senior engineers and architects, and operate as a member of the Engagement Technology leadership team.

## Qualifications

- 7+ years related work experience in software engineering and architecture, including enterprise-wide scope for the Senior Director level.
- Deep hands-on technical skills across web and mobile, API and event-driven integration, iPaaS, identity, and cloud-native architecture.
- Demonstrated ownership of target-state architecture in a multi-product environment.
- Experience leading cloud migration and modernization programs.
- Practical experience applying AI to the software development lifecycle.
- Proven ability to influence across Enterprise Architecture, Security, and Infrastructure organizations.
- Credible with engineers and persuasive with executives.

## Required Management Experience

- 5+ years direct supervisory/management experience

## Required Education

- Related Bachelor’s degree or additional related equivalent work experience Computer Science, Engineering, or a related field; equivalent combination of education and experience considered.

## Preferred Education

- Master’s degree Computer Science, Engineering, or a related technical discipline.

## Preferred Qualifications

- 15+ years of Software engineering and architecture, including enterprise-wide scope for the Senior Director level.
- 5+ years Leading architecture or technical transformation at scale.
- 10+ years of Hands-on cloud experience (AWS preferred), including cloud-native, web/mobile, API and event integration, iPaaS, and identity.
- Healthcare, insurance, or other regulated industry experience.
- AI/ML platform and GenAI solution architecture experience.
- Experience with AWS Bedrock and Snowflake Cortex.
- FinOps practices and cloud cost management.
- Business or platform transition and integration experience.

## Physical/Environmental Activities

Must be able to travel to multiple locations for work (i.e. travel to attend meetings, events, conferences). Occasionally

## General Physical Demands

Sedentary work: Exerting up to 10 pounds of force occasionally to move objects. Jobs are sedentary if traversing activities are required only occasionally.

## What We Offer:

As a Florida Blue employee, you will be at the heart of GuideWell’s vision – to lead the nation in transforming health through compassionate, connected, and technology-enabled care that delivers personalized value and empowered living.

To support your wellbeing, comprehensive benefits are offered. As an employee, you will have access to:

- Medical, dental, vision, life and global travel health insurance;
- Income protection benefits: life insurance, short- and long-term disability programs;
- Leave programs to support personal circumstances;
- Retirement Savings Plan including employer match;
- Paid time off, volunteer time off, 10 holidays and 2 well-being days;
- Additional voluntary benefits available; and
- A comprehensive wellness program

Employee benefits are designed to align with federal and state employment laws. Benefits may vary based on the state in which work is performed. Benefits for intern, part-time and seasonal employees may differ.

To support your financial wellbeing, we offer competitive pay as well as opportunities for incentive or commission compensation. We also conduct regular annual reviews with pay for performance considerations for base pay increases.

Annualized Salary Range: $180,000 - $292,500

Typical Annualized Hiring Range: $180,000 - $225,000

Final pay will be determined with consideration of market competitiveness, internal equity, and the job-related knowledge, skills, training, and experience you bring.

We are an Equal Employment Opportunity employer committed to cultivating a work experience where everyone feels like they belong and can perform at their best in pursuit of our mission. All qualified applicants will receive consideration for employment.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

## Job Function:

Discovery & Pre-Clinical/Clinical Development

## Job Sub Function:

Pharmaceutical Product R&D

## Job Category:

Scientific/Technology

## All Job Posting Locations:

Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America

## Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine is recruiting for a Principal Scientist, AI-Native Discovery (Large Molecules) to join our In Silico Drug Discovery team. This position will be located in either Spring House, PA (preferred); Cambridge, MA; or San Diego, CA (La Jolla area) and may require some travel as needed. (No remote option.)

## The Opportunity

We are seeking a creative, highly collaborative, and self-motivated Principal Scientist to join our In Silico Discovery (ISD), In Silico Biologics team. In this role, you will help shape the future of AI-native biologics discovery by integrating advanced AI, agentic workflows, predictive modeling, and computational design into Therapeutic Discovery programs. You will represent In Silico Discovery on cross-functional project teams, integrating broader ISD capabilities and AI-native approaches.

The ideal candidate combines experience influencing cross-functional discovery programs with therapeutic development expertise and a passion for using AI to generate insights, inform experimental strategies, and improve discovery decisions. You will help build new ways of working that integrate human scientific judgment, machine intelligence, experimental data and computational methods, while leveraging capabilities from across ISD and the broader J&J technical community.

This is an opportunity to join a diverse, global community of in silico scientists and contribute directly to the discovery of innovative medicines for patients.

## What You Will Do

- Partner closely with teams across In Silico Discovery to connect biologics discovery programs with relevant computational capabilities and AI-enabled approaches.
- Partner with Biologics Discovery and Therapeutic Area teams to apply AI-enabled computational design, analysis, and decision support in Therapeutic Discovery programs.
- Represent In Silico Discovery on cross-functional project teams and apply AI-enabled computational insights to support program strategy and decision-making.
- Apply predictive modeling, machine learning, generative approaches, agentic AI, structural modeling, and computational biology to support experimental strategy and biologic candidate design and optimization.
- Advance AI-native workflows that connect hypothesis generation, computational design, experimental testing, and model refinement to accelerate learning and decision-making.
- Evaluate emerging technologies and contribute scientific recommendations to internal development, acquisition, partnering, licensing, or M&A opportunities.
- Champion the responsible and scientifically rigorous adoption of AI and contribute to an innovative culture that values collaboration, experimentation, continuous learning, and knowledge sharing.
- Maintain awareness of advances in AI, computational biology, structural modeling, and biologics design.
- Contribute to Johnson & Johnson's external scientific presence through peer-reviewed publications, conference participation, and collaboration with external organizations.

## How You Will Make an Impact

You will help define how AI becomes an integral part of biologics discovery, enabling new approaches to scientific learning and decision-making.

By connecting human expertise, AI models, computational design, experimental workflows, and high-quality data, you will help create a more predictive, scalable, and adaptive discovery environment. Your work will contribute to faster learning cycles, stronger design decisions, and the advancement of differentiated biologic medicines for patients.

## Why Join Us

- Shape AI-native ways of working across biologics discovery.
- Apply emerging AI capabilities to meaningful therapeutic challenges.
- Work across computational science, experimental biology, data science, and drug development.

## Required Qualifications

- PhD in a relevant scientific or technical discipline and a minimum of 4 years of relevant drug discovery experience, including experience contributing to cross-functional discovery teams.
- Knowledge of biologics discovery, candidate optimization, and therapeutic development processes.
- Strong scientific leadership, communication, and stakeholder management skills, including the ability to organize and communicate complex data, models, and scientific concepts clearly to partners with diverse technical backgrounds.
- Demonstrated expertise in AI, machine learning, agentic AI, structural modeling, computational biology, or computational approaches for antibody design and optimization.
- Experience representing a computational function on cross-functional projects and integrating computational and experimental data to inform program strategy and scientific decisions.
- Hands-on experience with large-scale scientific data curation, aggregation, manipulation, integration, mining, and analysis across structured and unstructured data sources.

## Preferred Qualifications

- Experience in therapeutic target analysis, structural biology, antibody-antigen interaction modeling, computational protein design, and scientific data visualization.
- Experience with multimodal biological data, generative modeling, foundation models, AI agents, or iterative design-build-test-learn workflows.
- Experience developing, scaling, or adopting computational platforms and workflows in partnership with technology development teams.
- A strong publication record and demonstrated contributions to the discovery or advancement of preclinical or clinical candidates.
- Experience collaborating with academic institutions, biotechnology companies, technology partners, or contract research organizations.
- Experience evaluating emerging computational technologies or external scientific innovation opportunities.
- Experience influencing multidisciplinary discovery teams spanning computational and experimental functions.
- Influence both portfolio programs and the evolution of enterprise discovery capabilities.
- Contribute to a collaborative global scientific community focused on delivering innovative medicines to patients.

This position will be located in either Spring House, PA (preferred); Cambridge, MA; or San Diego, CA (La Jolla area) and may require some travel as needed. (No remote option.)

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent's consent for the background check.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $117,000 to $201,250. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.

Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

## Preferred Skills:

Budget Management, Chemistry, Manufacturing, and Control (CMC), Clinical Trial Protocols, Critical Thinking, Cross-Functional Collaboration, Drug Discovery Development, Industry Analysis, Interdisciplinary Work, Market Research, Organizing, Pharmacokinetic Modeling, Process Improvements, Product Development, Product Strategies, Report Writing, Safety-Oriented, Scientific Research

AI Lead / AI Architect

AI Lead / AI Architect with a minimum of 7 years of experience in AI/ML, data science, software engineering, or related fields , including strong hands-on experience designing and delivering enterprise AI/ML solutions . Will provide technical leadership for AI initiatives, define AI architecture and solution patterns, and guide AI/ML solutions from business requirements through production deployment.

## Key Responsibilities

- Define the AI/ML architecture and technical strategy for enterprise AI initiatives.
- Translate business objectives and use cases into scalable, secure, and production-ready AI solutions.
- Lead the design of end-to-end AI architectures , including models, data, APIs, applications, infrastructure, and integration components.
- Evaluate AI/ML technologies, frameworks, platforms, and models and recommend the most appropriate solutions.
- Establish reusable AI architecture patterns, standards, and best practices .
- Define technical approaches for traditional ML, Generative AI, LLMs, RAG, and AI Agents.
- Work closely with Business Analysts and Product teams to assess AI use cases, technical feasibility, value, data requirements, and dependencies.
- Guide Data Scientists and AI/ML Engineers in model development, experimentation, evaluation, and productionization.
- Work with Data Engineers to define data architecture and pipelines required for AI/ML solutions.
- Work with Backend and Frontend teams to integrate AI capabilities into enterprise applications.
- Work with DevOps/MLOps teams to establish production deployment architectures across on-premises Kubernetes and cloud environments .
- Define requirements for model serving, inference, scalability, monitoring, and lifecycle management.
- Establish appropriate approaches for model versioning, deployment, monitoring, retraining, and rollback .
- Ensure AI solutions meet requirements for security, performance, scalability, availability, and maintainability.
- Identify technical risks, architectural constraints, dependencies, and technology gaps.
- Lead technical design reviews and provide guidance on complex AI/ML architecture decisions.
- Ensure AI solutions are aligned with enterprise architecture and security standards.
- Provide technical leadership and mentorship to AI/ML and engineering teams.
- Stay current with developments in Generative AI, LLMs, AI Agents, MLOps, and AI engineering and assess their relevance to the organization.

## Generative AI & LLM

- Design architectures for LLM-powered applications and enterprise Generative AI solutions.
- Define appropriate approaches for:
- RAG
- Embeddings
- Vector databases
- Prompt engineering
- LLM orchestration
- AI Agents
- Tool/function calling
- Model routing and selection
- Evaluate commercial and open-source models based on performance, cost, latency, security, and business requirements .
- Design solutions that support multiple LLM providers or models where appropriate.
- Establish approaches for LLM evaluation, monitoring, and quality measurement.
- Address AI-specific concerns such as hallucination, data leakage, prompt injection, access control, and model reliability .
- Guide teams in selecting appropriate frameworks such as LangGraph, LangChain, or similar AI application frameworks .

## AI/ML Architecture

- Design end-to-end architectures covering:

Data → ML/AI Model → Model Serving → API → Application → Monitoring

- Define appropriate model development and production environments.
- Establish patterns for real-time and batch inference.
- Define integration patterns for AI/ML models with enterprise applications and APIs.
- Ensure AI solutions can operate across on-premises, cloud, and hybrid environments .
- Design for scalability and high availability of AI/ML workloads.
- Define appropriate compute requirements, including CPU/GPU resources where applicable.
- Establish architecture patterns for AI/ML observability and monitoring.

## MLOps & Productionization

- Define the MLOps architecture and lifecycle for AI/ML solutions.
- Work with DevOps/MLOps teams to implement automated ML/AI deployment pipelines.
- Establish standards for:
- Model versioning
- Model registry
- Experiment tracking
- Model deployment
- Model monitoring
- Model rollback
- Model retraining
- Guide the deployment of models to Kubernetes-based environments .
- Ensure AI/ML solutions can be deployed consistently across development, testing, and production.
- Define requirements for model performance monitoring and detection of data/model drift .
- Support the transition of prototypes and proof-of-concepts into production-grade solutions.

## AI Governance & Responsible AI

- Define technical controls for AI security, privacy, governance, and responsible AI .
- Establish appropriate human oversight for AI-powered decisions.

Music Editor

Role Type: Contractor

Location: Remote

We are engaging Music Editors to support a video annotation project. You'll review video content, accurately label events and timing, and apply music and audiovisual knowledge to ensure precise annotations. No prior AI experience is required.

## Scope of Work

- Review and annotate video clips according to detailed guidelines.
- Label actions and events with accurate start and end points.
- Identify scene changes, cuts, pacing shifts, and changes in intensity.
- Evaluate and label tone or mood and identify transitions.
- Apply annotation rules consistently across all footage.
- Review and correct annotation boundaries for accuracy.
- Flag unclear or borderline cases for review.
- Suggest improvements to annotation guidelines.
- Complete assigned annotation tasks accurately and on time.

## Required Skills

- Video annotation
- Data labeling
- Attention to detail
- Music and picture synchronization
- Editing music to fit a scene
- Music and video annotation accuracy
- Strong sense of timing

## Preferred Qualifications

- Background in music editing, video editing, sound editing, post-production, or a related field.
- Strong frame-level timing and audiovisual judgment.
- Excellent attention to detail and consistency.
- Ability to follow detailed guidelines precisely.
- Ability to identify and report unclear or inconsistent footage.
- Strong written and verbal communication.
- Previous video annotation or data-labeling experience is a plus.

## job summary:

We are seeking an experienced AI Product Manager / Technical Program Manager to oversee product operations and delivery for an enterprise supply chain platform supporting cloud GPU capacity deployment. In this role, you will bridge the gap between business stakeholders and engineering teams, managing the operational lifecycle of feature requests, user support, testing, and production releases for critical infrastructure applications.

location: Redmond, Washington job type: Contract salary: $52.37 - 62.37 per hour work hours: 8am to 5pm education: Bachelors

## responsibilities:

- Act as the operational owner for application support, triaging incoming user queries, investigating technical issues, and coordinating incident resolutions.
- Partner with business stakeholders to translate business needs into detailed functional requirements, user stories, acceptance criteria, and process flows.
- Manage feature requests and operational enhancements through the complete software development lifecycle, utilizing Azure DevOps for backlog tracking.
- Conduct initial functional validation in sandbox environments before coordinating business User Acceptance Testing (UAT) and gathering sign-offs.
- Facilitate production release communications and ensure seamless deployment of new capabilities to end users.
- Support monthly business reviews by tracking actions, decisions, open issues, and feature backlogs across cross-functional teams.

## REQUIRED QUALIFICATIONS

- Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
- 2 to 4 years of experience in technical product/program management, business analysis, or enterprise application support.
- Demonstrated track record of writing clear functional specifications, user stories, and acceptance criteria for software engineering teams.
- Experience managing feature delivery through testing, sandbox validation, UAT coordination, defect tracking, and release management.
- Experience with enterprise support and incident management workflows.
- Strong communication, stakeholder management, and organizational skills.

## PREFERRED QUALIFICATIONS

- Domain experience in cloud infrastructure, GPU deployment, or supply chain systems (Azure, AWS, GCP).
- Hands-on proficiency with Azure DevOps (ADO) and IcM tools.
- Advanced degree (MBA/MS) or PMP/PMI certification.

## skills:

AWS,cloud infrastructure,collaboration tools,Computer Engineering,deployment workflows,Enterprise Application,Computer Science,Azure,Azure DevOps,ADO,Microsoft 365,AI Product,software requirements,communicate,coordinate,acceptance criteria,UAT,Testing & UAT,backlogs,backlog management,manage business,Business Analysis,business needs,PMP,track defects,defect tracking,functional requirements,incident management,PMI certification,Production Support,investigate,strategic direction,Supply Chain,supply chain operations,triage,user support,user stories,workflows,operational workflows

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

AI Engineer_Full Stack Generative AI

## Description

We are looking for an AI Engineer with Full-Stack experience to build scalable, production-ready Generative AI and Agentic AI applications across frontend, backend, AI, and cloud.

## Key Responsibilities

- Develop responsive frontend applications using React / Angular / Svelte.
- Build scalable backend services and REST APIs using Python and FastAPI.
- Design and develop AI agents and multi-agent workflows using Google ADK, LangChain, and LangGraph.
- Build RAG solutions using embeddings, vector search, metadata filtering, and reranking.
- Work with Vector Databases such as Vertex AI Vector Search, pgvector, Pinecone, Qdrant, or Weaviate.
- Integrate Gemini / Vertex AI and enterprise APIs into applications.
- Build document ingestion and knowledge-processing pipelines.
- Deploy scalable applications on GCP, including Cloud Run, Pub/Sub, GCS, Cloud SQL, and Secret Manager.
- Implement secure authentication using OAuth 2.0, JWT, OIDC, and IAM.
- Build asynchronous/event-driven services and optimize applications for performance, scalability, reliability, and cost.
- Implement testing, monitoring, logging, CI/CD, and production support.

## Frontend

- React / Angular / Svelte
- JavaScript / TypeScript
- REST API integration
- Responsive UI development

## Backend

- Python
- FastAPI
- REST APIs
- Async programming
- PostgreSQL / SQL

## AI / GenAI

- Gemini / Vertex AI
- Google ADK
- LangChain / LangGraph
- RAG & Vector Databases
- Embeddings & semantic search
- Prompt engineering
- Tool/function calling
- Multi-agent workflows
- GCP Spanner Database

## Cloud & DevOps

- GCP
- Cloud Run
- Pub/Sub
- GCS
- Cloud SQL
- Docker
- CI/CD
- IAM / Secret Manager
- Cloud Logging & Monitoring

## Good to Have

- MCP (Model Context Protocol)
- Microsoft Graph API / Azure Entra ID
- AI evaluation and observability
- OpenTelemetry
- Terraform
- WebSockets / SSE
- Experience with enterprise AI applications

## Ideal Candidate

A strong Full-Stack AI Engineer who can independently take a solution from UI → FastAPI backend → AI agents/RAG → GCP deployment → production monitoring, with strong software engineering, cloud, and Generative AI fundamentals.

Years of experience : 5 to 8 Years

## Qualifications

B.Tech/B.E in any specialization, BCA in any specialization, BSC in any specialization.

This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.

Job Information Technology

Primary Location India-Karnataka-Bengaluru

Schedule: Full-time

Travel: No

Req ID: 263864

Job Hire Type Experienced Not Applicable #BMI N/A

Title: Strategic Account Executive - AI Platforms

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream—we’re making it reality.

For over two decades, we’ve been at the forefront of the global energy transition, pioneering solutions that empower critical industries to thrive in a rapidly digitizing, energy-intensive world. From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals, electric grids, manufacturing facilities, and utilities, our solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies are redefining what’s possible by delivering energy abundance for all. With more than 30,000 fuel cell modules deployed worldwide, we are the trusted partner for Fortune 100 companies and innovators alike. Our cutting-edge solutions enable unparalleled “time-to-power” capabilities, reliability, and sustainability, ensuring our customers remain ahead in a world where soaring energy demand and intensifying energy scarcity are rapidly becoming the new norm.

At Bloom, we thrive on collaboration, bold thinking, and relentless innovation. We believe that, together, we can create a brighter, more sustainable future while tackling the most pressing challenges of the 21st century.

We are looking for a Strategic Account Executive - AI Platforms to join our team in one of today’s most exciting technologies. This role will report to Vice President-AI Ecosystem and based in either Houston, TX OR San Jose, CA. This is a fully on-site, in office role.

## Team Context

The AI Ecosystem Team develops strategic relationships with market participants that influence how AI infrastructure is conceived, architected, integrated, and deployed. The team engages upstream of individual transactions to create demand visibility, architectural alignment, partner advocacy, and qualified opportunity pull-through.

- Influence infrastructure decisions before formal procurement begins.
- Develop reference solutions and repeatable deployment approaches.
- Create qualified opportunities for customer-account teams.
- Operate in parallel with customer-account teams, which retain ownership of end-customer relationships, commercial opportunities, contracts, and deployment execution.

## Position Summary

Bloom Energy is seeking a Strategic Account Executive, AI Platforms to develop strategic relationships with compute and semiconductor organizations defining next-generation AI infrastructure. The target segment includes accelerator providers, processor and semiconductor companies, and compute-platform organizations that influence server, rack, power, cooling, and reference architectures.

The role will engage business, engineering, infrastructure, product, ecosystem, and executive stakeholders to align Bloom solutions with evolving AI platform roadmaps and establish Bloom architectures as preferred or repeatable elements within AI infrastructure designs.

The successful candidate must operate across commercial, technical, and ecosystem domains, connecting platform roadmaps to Bloom power architectures, integrators, and customer-account teams.

## Strategic Account Leadership

- Develop and execute strategic account plans for assigned AI platform accounts.
- Understand each account technical roadmap, partner ecosystem, reference architectures, customer priorities, and infrastructure requirements.
- Map stakeholders across executive leadership, engineering, product, platform architecture, data center infrastructure, ecosystem development, sustainability, and strategic partnerships.

## Architecture and Roadmap Alignment

- Develop insight into future compute architectures, rack density, power distribution, AC and DC roadmaps, cooling requirements, and campus implications.
- Identify where Bloom technologies and design standards align with platform requirements.
- Lead discussions regarding inclusion of Bloom solutions in reference architectures, validated designs, and deployment models.
- Facilitate technical working groups involving Bloom engineering, product, applications, and partner organizations.

## Reference Standards and Solution Development

- Develop repeatable Bloom-powered AI infrastructure configurations.
- Support reference designs, technical documentation, validated configurations, and deployment frameworks.
- Establish feedback loops with Bloom product, engineering, and commercial organizations.
- Identify product gaps, integration requirements, and future development priorities.

## Joint Go-to-Market and Opportunity Creation

- Develop joint value propositions connecting compute platforms, Bloom power solutions, integrators, and end customers.
- Identify co-selling, market-development, customer-education, and strategic-partnership opportunities.
- Translate platform relationships into qualified opportunities for customer-account teams.
- Track sourced pipeline, influenced pipeline, deployment alignment, and revenue contribution.

## Market Intelligence

- Monitor accelerators, server architecture, networking, power density, cooling, data center topology, and electrical infrastructure.
- Anticipate how platform roadmaps may change customer power requirements and deployment economics.

## Required Qualifications

- 10 or more years of strategic account management, enterprise sales, business development, infrastructure sales, alliance management, or technology partnership experience.
- Demonstrated success developing senior executive relationships within large, complex organizations.
- Proven ability to identify and develop opportunities before formal procurement begins.
- Strong strategic-account planning, stakeholder mapping, executive communication, and cross-functional leadership capabilities.
- Ability to translate technical and infrastructure concepts into clear business and financial value.
- Willingness and ability to travel as required.
- Demonstrated experience with semiconductor, compute-platform, server, cloud, or data center infrastructure organizations.
- Strong understanding of the relationship between compute, power, cooling, networking, and facilities.
- Ability to lead sophisticated technical and commercial discussions with executive and engineering audiences.

## Preferred Qualifications

- Relationships within semiconductor, accelerator, server, and AI infrastructure organizations.
- Experience with accelerator platforms, high-density rack architectures, or AI reference designs.
- Familiarity with AC and DC data center electrical architectures.
- Experience developing technology partnerships, reference solutions, or validated designs.
- Bachelor degree in engineering, business, computer science, energy, or related field; MBA or advanced technical degree preferred.

Bloom Energy is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to compliance with all applicable laws providing equal employment opportunities. All qualified applicants, will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability. Bloom Energy makes reasonable accommodations, consistent with applicable laws, for the known physical or mental limitations of an otherwise qualified applicant or employee with a disability, who can perform the essential job functions, unless undue hardship would result.

Bloom Energy is committed to fair and equitable compensation practices. The total compensation for this position includes standard company benefits and is based on various factors including, but not limited to, relevant skills and experience.

Project Manager- Data Analytics and AI Platform Banking

Key Responsibilities:

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