## Qualifications

- Bachelors Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience

- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role

- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

## Benefits

- Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year

- There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year

- Certain roles may be eligible for benefits and other compensation

## Responsibilities

- In this role, you will drive software bring-up, performance analysis, and optimization for multiple generations of AI accelerators, working across the full stack from low-level kernels and compiler/runtime integration to distributed training, inference serving, networking, and fleet-scale system behavior

- You will develop strategies that improve the correctness, efficiency, reliability, and scalability of real-world AI workloads, including deep analysis of training and inference runs to validate numerical behavior, identify bottlenecks, and guide architectural tradeoffs

- You will collaborate closely with architecture, microarchitecture, compiler, runtime, networking, and systems teams to translate workload insights into practical system designs that enable efficient large-scale AI deployment

## Overview

Do you want to be at the forefront of innovating the latest hardware designs to propel Microsoft's cloud growth? Are you seeking a unique career opportunity that combines technical capabilities, cross-team collaboration, with business insight and strategy -

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together

Looking to take your digital career to a whole new level? Then this role is for you!

First Page is a certified ?GREAT PLACE TO WORK? and is a global digital marketing firm that transforms the way companies do business online. Since 2011 our mission has been to create amazing digital experiences by implementing game-changing digital strategies. As APAC?s highest-rated digital agency, First Page has seen insane growth and won numerous awards over the past 3 years.

## About The Role

As an AI Engineer, you will design, build, and ship agentic workflows and AI-powered tools ? primarily for our own internal operations, with a path toward client work as we grow. You'll turn messy real-world processes into reliable systems by combining LLMs, automation platforms, and AI coding agents.

We build fast using AI coding agents ? n8n for orchestration, plus tools like Cursor, Claude Code, OpenCode, and Pi to design and build tools and flows in whatever language the problem demands. The north star is agentic build speed ? shipping things that work, in any stack, without being boxed into one technology.

This is a junior role for someone who wants to build real agentic systems from day one and learn how modern AI engineering, automation, and product thinking come together.

## Responsibilities

? Design and build agentic workflows and automations on n8n, plus Zapier / Make where they fit

? Use AI coding agents (Cursor, Claude Code, OpenCode, Pi, etc.) to design and build tools and flows in any language the task requires

? Integrate LLMs into workflows ? primarily Claude and OpenAI, plus GLM, Kimi, Qwen, MiniMax, DeepSeek and others ? for prompt engineering, function/tool calling, and structured outputs

? Build and maintain RAG pipelines: chunking, embeddings, vector stores, retrieval tuning

? Build production-reliable workflows ? error handling, retries, observability, auditability, and versioning ? with guidance and mentorship as you grow into it

? Handle data responsibly: apply data governance and privacy guardrails when working with sensitive information

? Connect APIs and third-party tools into automated pipelines (CRM, databases, SaaS platforms)

? Evaluate and improve workflow quality ? testing, cost and latency optimisation

? Scope MVPs pragmatically by impact and effort; ship iteratively

? Document architectures, prompts, and configurations clearly so the team can run and extend them

## Technical Skills

? AI-assisted development fluency ? able to leverage AI coding agents (Cursor, Claude Code, OpenCode, Pi) to design and build solid solutions in any language (Python, TypeScript, etc.) the problem requires, with enough programming foundation to read, verify, and debug what the AI produces

? Hands-on experience calling LLM APIs ? primarily Claude and OpenAI; familiarity with others (GLM, Kimi, Qwen, MiniMax, DeepSeek) a plus ? and writing production prompts

? Familiarity with at least one automation platform (n8n, Zapier, Make)

? Working knowledge of REST APIs, JSON, and basic data structures

? Understanding of RAG concepts (embeddings, vector databases, chunking)

? Eagerness to learn production discipline ? error handling, observability, and data governance. You don't need to arrive with this; we mentor it.

? Comfortable with Git and version control

? Familiarity with LLM concepts: context windows, tool/function calling, evaluation, hallucination mitigation

## Personal Attributes

? Self-motivated and a fast learner ? this is the #1 thing we look for. The field changes weekly; you learn on your own, stay curious, and don't wait to be taught

? Strong attention to detail ? agent reliability lives or dies on edge cases

? Autonomous: comfortable owning a workflow end-to-end with light guidance

? Good communicator ? able to explain AI capabilities and limits to non-technical teammates

? Product mindset: scopes MVPs, prioritises by impact, ships iteratively

? Proactive: you flag problems, propose solutions, and don't wait to be told

## Nice To Have

? Exposure to open-source models and tools ? strong plus (Ollama, vLLM, Hugging Face, self-hosted setups)

? Familiarity with agent frameworks (LangChain, CrewAI, LlamaIndex)

? Knowledge of queue-based architecture for scalable agents

? Basic cloud deployment (Docker, serverless)

? SQL basics for validation and reporting

## What We Offer

? Real ownership of internal agentic builds from day one ? no toy projects

? Mentorship on production AI engineering, automation architecture, and building rigor

? Hands-on exposure to the latest LLMs, tools, and agentic patterns

? An AI tooling budget to build fast

? A collaborative, fast-moving startup environment

? Potential for conversion to a full-time role based on performance

## About This Role

## Your Team

The Data Science & Artificial Intelligence (AI) team helps transform how technology, data, and AI drive better outcomes for clients and the business. The team partners closely with client-facing teams, product strategists, engineers, and business leaders to develop and scale AI-powered solutions that enhance productivity, improve decision-making, strengthen client engagement, and unlock commercial value. This is a highly impactful team focused on translating innovation into real-world business outcomes and advancing the future of AI-powered client engagement across the firm.

## Your Role and Impact

We are seeking a highly motivated AI Solutions Lead to join the Data Science & AI team. This role combines technical expertise in machine learning, generative AI, and data engineering with the ability to translate business challenges into scalable AI solutions. You will partner with stakeholders across Sales, Product Strategy, Chief Operating Officer (COO) functions, and Technology to identify opportunities, develop AI-driven products, and deploy solutions that drive measurable business outcomes. Success in this role requires intellectual curiosity, analytical thinking, hands-on technical skills, and the ability to collaborate across multidisciplinary teams.

## Your Responsibilities

In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and embrace the curiosity to explore new approaches and technologies while challenging outcomes. The scope of this role also includes the following responsibilities:

? Develop artificial intelligence (AI), machine learning (ML), and advanced analytics solutions that drive commercial growth, improve client experiences, and enhance operational efficiency.

? Design, develop, evaluate, and deploy AI and machine learning solutions in partnership with engineering teams.

? Build intelligent AI-powered assistants, agentic workflows, and Retrieval-Augmented Generation (RAG) applications that deliver measurable business value.

? Establish experimentation, evaluation, monitoring, and performance measurement frameworks to assess business impact and solution effectiveness.

? Leverage modern cloud, data, and directed acyclic graph-based workflow orchestration frameworks for data and batch processing to build scalable AI solutions.

? Champion responsible AI practices, model governance, security, scalability, and reliability standards.

? Partner across product, engineering, business, and AI teams to advance enterprise AI capabilities and communicate insights effectively.

## Your Experience

? Degree in Computer Science, Engineering, Statistics, Mathematics, Physics, Economics, or another quantitative discipline; advanced degrees are a plus.

? Demonstrated ability to build and deploy AI and machine learning solutions in production environments.

? Strong technical proficiency in Python, Structured Query Language (SQL), data engineering, and analytical platforms.

? Demonstrated expertise in machine learning, statistics, experimentation, and predictive modeling.

? Experience developing generative AI applications using Large Language Models (LLMs), prompt engineering, natural language processing (NLP), and related techniques.

? Experience in asset management, financial services, fintech, or modern cloud-based AI ecosystems is preferred.

? Strong communication, stakeholder management, problem-solving, and responsible AI practices.

For New York, NY Only the salary range for this position is USD$167,500.00 - USD$225,000.00. Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

## Our Benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

## Our Hybrid Work Model

BlackRock?s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person ? aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

## Guidance on AI Use for Candidates

At BlackRock, AI has long been part of how we work ? enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we?ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

## About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children?s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment ? the one we make in our employees. It?s why we?re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC?s Know Your Rights poster and its supplement and the pay transparency statement.

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our privacy policy.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

Yoruba AI Product Tester

## The Project

Productive Playhouse is building a talent pool of Yoruba speakers for an upcoming project testing and evaluating leading AI chatbots. The objective is to enhance response quality through direct user interaction with the various AI models.

Open to freelancers based outside the U.S.

This is more than one job. Apply once, and we'll keep you in mind for this project ? and future ones that need your language skills.

## The Details

We?re looking for independent contractor engagement (task-based - project-based).

? You choose which tasks to take, set your own hours, and are free to work with other clients any time. You can stay flexible as the project evolves.

? This is an iterative project, work arrives in batches (there may be pauses between them).

## What You?ll Do

As an AI Evaluator, you'll play a critical role in shaping and improving the next generation of Generative AI. You'll participate in structured, hands-on evaluations by interacting directly with various AI models to assess their capabilities, safety, and helpfulness. Your insights and data will directly inform model development and optimization.

Exact tasks vary by project and will be spelled out in that project's Statement of Work (SOW) before you start. Depending on the role, your work may include:

? Testing and evaluating AI chatbots or language models through structured conversations, using assigned goals and prompts.

? Voice-based interactions with AI models ? for projects that involve this, sessions are recorded, and audio may be shared with the client as part of the evaluation deliverable.

? Submitting deliverables (write-ups, ratings, screenshots, or recordings) in the format each task specifies.

## What We're Looking For

? Native or expert-level fluency in Yoruba, as spoken in Nigeria

? Strong English reading, writing, and communication skills - assessment maybe required

? 18 years of age or older

? Hands-on experience using AI models or large language models

? Comfortable with both written and voice-based conversation ? and good at asking sharp follow-ups

? Your own smartphone, computer, reliable internet, and comfort with web-based tools

? Able to pass a language proficiency assessment and AI evaluation task

? Responsive communicator ? quick replies move you through onboarding faster

? Able to start within 48 hours

## Why PPH?

? Your language skills are the whole point ? and this project pays for them

? Apply once, get contacted directly when a spot opens ? no chasing

? Work from anywhere, on your own schedule, alongside any other work you do

? Clear task specs, no ongoing oversight, no micromanagement

? Real project experience with a global data and language services company

? Work that actually improves how AI understands your language

## About Productive Playhouse

We started by teaching kids through award-winning programming. We grew into a global data and language services company trusted by clients worldwide. But the mission never changed: keep language alive.

Transcription, translation, localization, linguistic analysis, AI evaluation ? it all comes back to preserving languages and the cultures they carry.

All engagements are contingent upon successful completion of identity verification. Productive Playhouse is an equal opportunity organization headquartered in California and committed to diversity and inclusion across our global workforce. We welcome applicants of all backgrounds and abilities, regardless of location or engagement type. For accommodations or inquiries, please contact hr@productiveplayhouse.com.

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

## What This Opportunity Involves

We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.

You'll create challenging tasks and evaluation criteria within realistic simulated environments:

? Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history

? Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent

? Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient

? Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust

## What This Is Not

? Not data labeling

? Not prompt engineering

? Not writing code from scratch - the agent writes most of the code; you guide and evaluate

## What We Look For

? 5+ years in software development

? Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis

? Experience writing tests (functional, integration)

? English proficiency - B2+

## Why This Is Hard

Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.

## How It Works

Apply, pass qualification(s), join a project, complete tasks, and get paid.

## Compensation

Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.

Compensation: US$20?US$100 an hour

## About The Role

What if the code you write could directly shape how the next generation of AI understands and generates software? We're looking for Software Engineers in Calgary to build, evaluate, and improve AI-generated code ? helping train AI systems to think like real developers.

You'll write solutions, review AI outputs, and provide the expert-level feedback that makes AI coding assistants smarter, safer, and more reliable. This is hands-on engineering work at the frontier of AI development ? not theoretical, not bureaucratic, and not boring.

This is a fully remote, flexible contract role. If you can write clean code and explain your reasoning, we want to hear from you.

? Organization: Alignerr

? Type: Hourly Contract

? Location: Remote

? Commitment: 10?40 hours/week

## What You'll Do

? Write, debug, and optimize code across a range of languages, frameworks, and problem domains

? Review and evaluate AI-generated code for correctness, efficiency, readability, and best practices

? Identify bugs, logic errors, security issues, and performance bottlenecks in AI outputs

? Provide structured, detailed feedback explaining why code works ? or doesn't

? Design challenging coding prompts and edge-case scenarios to stress-test AI capabilities

? Compare and rank multiple AI-generated solutions based on engineering quality

? Work independently and asynchronously ? fully on your own schedule

## Who You Are

? Proficient in one or more programming languages (Python, JavaScript, Java, C++, Go, TypeScript, or similar)

? Solid understanding of data structures, algorithms, and software design principles

? Able to read, write, and reason about code with clarity and precision

? Strong problem-solving instincts and a systematic debugging approach

? Clear written communicator ? you can explain technical decisions in plain language

? Self-motivated and reliable when working independently without supervision

? Bachelor's degree in Computer Science, Software Engineering, or a related field ? or equivalent practical experience

## Nice to Have

? Experience across multiple languages or tech stacks (full-stack, backend, systems, data engineering)

? Familiarity with AI/ML concepts, LLMs, or prompt engineering

? Background in code review, technical writing, or mentoring junior developers

? Experience with cloud platforms, DevOps, or distributed systems

? Competitive programming, open-source contributions, or side projects that demonstrate your craft

? Advanced degree in Computer Science or related discipline

## Why Join Us

? Work on cutting-edge AI projects alongside leading research labs

? Fully remote and flexible ? set your own hours and work from anywhere

? Freelance autonomy with intellectually stimulating, high-impact work

? Directly influence how AI writes, understands, and reasons about code

? Sharpen your own engineering skills by evaluating diverse problems daily

? Potential for ongoing work and contract extension as new projects launch

## Job Responsibilities

## Build And Deploy AI Solutions

? Build, deploy and support approved AI use cases, agents and reusable assets for internal audit.

? Develop tools, applications and extensions for audit use cases where custom (pro-code) development is required, balancing these with low-code and configurable solutions to keep tools maintainable and supportable.

? Operate and maintain the audit AI lab, prompt library and use-case catalogue.

## Data Engineering For Continuous Assurance

? Design, build and optimise scalable, maintainable data pipelines that connect approved source systems ? databases, data warehouses and data lakes to a governed analytics environment supporting AI-led continuous assurance and monitoring.

? Establish read-only, least-privilege data access in line with data-owner, IT Security, second-line and CISO requirements, reflecting the sensitivity of audit data.

? Build and maintain API integrations and connectors (e.g. MCP) to approved audit data sources.

? Schedule, orchestrate and monitor continuous-assurance pipelines and agents so they run reliably and unattended in production, with alerting on failures and on control drift.

## Responsible AI And Quality

? Apply responsible-AI guardrails, risk controls, explainability, human-in-the-loop checkpoints and audit-trail logging to every solution, so that AI outputs are transparent, reviewable and owned by the auditor.

? Support the progression of use cases from proof-of-concept to controlled deployment, with appropriate quality assurance, validation, testing and documentation.

? Maintain data governance, quality, confidentiality and regulatory compliance across the AI and analytics environment, consistent with Group policy and applicable technology and AI expectations (e.g. BNM RMiT and MAS requirements).

## Enablement And Collaboration

? Work closely with auditors to translate audit requirements into scalable, maintainable solutions, and build auditors? capability and confidence in using approved AI tools.

? Contribute to the unit?s library of reusable AI assets and its central knowledge portal.

? Continuously optimise the performance, reliability and scalability of deployed AI and data solutions.

## Job Requirements

? Degree in Computer Science, Software or Data Engineering, Data Science, Information Technology or a related field.

? Around 1-5 years? experience building and deploying data and / or AI solutions, ideally within financial services or another regulated environment.

? Strong, hands-on software development and data-engineering skills, including data pipeline (ETL / ELT) implementation, data warehousing and API integration.

? Practical experience operating data or AI pipelines in production ? scheduling, orchestration, monitoring and alerting ? so continuous processes run reliably and unattended.

? Practical, demonstrable experience with the Microsoft AI and data stack.

? Working knowledge of large language model (LLM) integration and retrieval techniques (e.g. vector databases / RAG) for AI-powered search and analytics.

? A sound understanding of responsible-AI principles, AI governance and the secure handling of confidential data.

## About the role

Careem’s mission includes simplifying and improving the lives of people across our region — and Care plays a vital role in making that mission real. As part of the Care Analytics, Automation, and Project Management team, you’ll use data and technology to enhance how we serve our customers, captains, and partners. From supporting building automation that reduces effort, to driving analytics that uncover experience gaps, you’ll help shape systems that create impact across the region.

This is a hands-on role within Care where you’ll program manage automation solutions, deliver data-driven insights, and manage impactful projects. In this hands-on position you’ll manage data-led and AI-powered initiatives in Care, support in automating workflows, optimizing performance, getting in-depth data analytics and managing projects that transform how we serve our users, alongside a talented team that’s driving meaningful change.

## What you'll do

• Program manage the end-to-end automation program roadmap for Careem Care: including but not limited to self-service flows, AI-driven triage, proactive notifications, and escalation automation

• Partner with business and care leads across verticals (Food, Quik, Pay, etc.) to analyze contact drivers, disposition trends, and pain points to identify automation and process improvement opportunities

• Collaborate with Care and org-wide Engineering, Product, verticals, data science, and Operations to program manage and support roll out AI-enabled solutions that enhance care efficiency and quality of delivery

• Drive change management to ensure successful adoption of automation tools across Careem’s regional care teams

• Support building care strategy across verticals, closely liaising with functional teams

• Lead cross-functional projects, managing dependencies, timelines, and risks while maintaining strong stakeholder communication

• Localize and roll out solutions tailored and compliant to each market (UAE, Jordan, KSA)

• Explore and pilot emerging AI/ML technologies (e.g., NLP, conversational AI, RPA) to enhance Careem’s automation capabilities

• Build clear documentation of systems, workflows, and success metrics to support scalability and transparency

• Work with real-world data and translate it into features, signals, and insights

• Improve the way we serve and monitor machine learning models

• Contribute to a strong team culture of learning, iteration, and accountability

• Track performance metrics (contact rate, deflection rate, NPS/CSAT, automation accuracy, FCR) and provide insights and recommendations for continuous improvement

• Translate insights into data-backed actions in coordination with the respective teams

• Champion a “Care-First Automation” culture — leveraging technology to elevate the customer experience, not just reduce costs

## What you need

## Must-haves

• Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related technical field

• 6+ years of experience working with machine learning program management, analytics in any form—ideally in tech, e-commerce, or service excellence organizations

• Solid Python skills, especially with libraries like pandas, NumPy, and scikit-learn

• A strong grasp of ML fundamentals like classification, regression, cross-validation, and evaluation metrics

• Familiarity with at least one ML framework such as TensorFlow, PyTorch, or XGBoost

• Advanced analytical capability: proficiency in SQL, Excel, Power BI / Tableau, or other BI tools

• Proven track record of translating data insights into business strategy and measurable impact

• Familiarity with CRM and Care platforms (Zendesk, Salesforce, or equivalent) and workflow automation tools

## Nice-to-haves

• Exposure to deep learning techniques in call center

• Experience working with large datasets using Spark, Hive, and cloud tools

• Familiarity with model deployment and monitoring workflows (Airflow, MLflow, etc.)

• Interest in solving real operational challenges for customers, captains, and partners

• A GitHub profile or project portfolio that shows what you’ve built

## What you'll get

• A chance to work on AI problems, data analytics at regional scale that improve lives and drive real business outcomes

• A smart, motivated team that values learning and practical impact

• A front-row seat to how AI is transforming mobility, delivery, and digital services in emerging markets

What we’ll provide you

• Work and learn from great minds by joining a community of inspiring colleagues

• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential

• Explore new opportunities to learn and grow every day

• Work four days a week in office and one day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have two office days a week and three to work from home)

• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes

## About Us

OverClocked Services is a premier Canadian digital agency dedicated to supercharging your online presence. In a fast-paced digital world, standard solutions fall behind. We partner with businesses to build digital infrastructures that are fast, secure, and visually stunning. Based in the Greater Toronto Area, OverClocked Services positions itself as a high-end technical partner for businesses requiring uncompromising digital foundations. We empower businesses with the kind of "overclocked" performance and reliability usually reserved for high-security, high-traffic tech giants.

## What Sets Us Apart?

At OverClocked Services, we don't just build websites; we architect resilient digital ecosystems. We deliver comprehensive technical services designed to scale your business securely and efficiently. Our core values are Technical Excellence, Security-First, Scalability, and High Performance. You will be joining an elite team working with modern frameworks like Next.js and React, alongside military-grade DDoS and WAF protection.

How you’ll make an impact

As a Junior AI / Machine Learning Engineer, you will help integrate cutting-edge artificial intelligence into our premium digital infrastructure. Focusing on our Web-AI Hosting and ChatBot Hosting specialties, you will assist in developing intelligent systems that elevate our bespoke, high-performance websites.

Salary: $60,000 - $75,000

This is a 50/50 hybrid role with an alternating in-office schedule based out of our primary location in Toronto, Ontario.

## Responsibilities

## AI & Machine Learning Integration

• Assist in designing and deploying models for our Web-AI Hosting and ChatBot Hosting services.

• Collaborate with frontend developers working with Next.js and React to integrate AI features into high-performance web applications.

• Optimize machine learning algorithms to ensure they align with our commitment to blazing-fast load times.

## Infrastructure & Security Collaboration

• Work alongside network engineers to ensure AI deployments are secure and operate in line with our 99.99% Guaranteed Network Uptime standards.

• Analyze real-time threat data from our automated DDoS mitigation systems to improve predictive security models.

## Administrative & Cross-functional

• Participate in continuous improvement initiatives that enhance our custom UI/UX design and overall digital ecosystems.

• Monitor performance metrics and troubleshoot AI-related backend issues within our OnePanel central management interface.

## Qualifications

• Recent graduate with a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related technical field.

• Knowledge of programming languages and frameworks relevant to our stack, such as TypeScript and HTML/CSS/JS Development.

• Familiarity with cloud platforms and deployment environments, such as Vercel and DigitalOcean.

• Demonstrate an eagerness to learn and determination to succeed in an environment that prioritizes technical excellence.

• Strong analytical and problem-solving skills with the ability to identify risks and escalate issues appropriately.

• Adaptable and able to work as part of a cross-functional team in a fast-paced digital world.

## As a full-time permanent employee, you would receive

• Competitive health and dental benefits.

• The opportunity to work alongside an elite team dedicated to architecting resilient, high-performance digital ecosystems.

## WHAT IS THE OPPORTUNITY?

Join RBC's Finance & Audit Technology team as an AI Forward Business Analyst, where you'll pioneer the integration of artificial intelligence into regulatory reporting and financial systems. This is a unique opportunity to work at the intersection of business analysis and emerging AI technologies, directly shaping how we approach complex regulatory requirements for FRB TIC and related reports. You'll collaborate with cross-functional teams to translate AI capabilities into tangible efficiency gains, while building expertise in a rapidly evolving field. If you're energized by solving complex problems with innovative tools and want to accelerate your career in a forward-thinking environment, this role offers the perfect platform.

## WHAT WILL YOU DO?

• Gather and synthesize business requirements for regulatory reporting initiatives, with emphasis on FRB TIC Series B & D Reports, TIC S series, and 2420 reports, leveraging AI tools to enhance analysis speed and insight depth

• Partner with stakeholders across Finance, Audit, and Technology to identify opportunities for AI-driven efficiency improvements and process optimization in requirement gathering workflows

• Design and architect data retrieval solutions using SQL and Python to support requirements analysis, enabling the team to extract and analyze complex datasets from multi-platform finance systems

• Conduct root cause and gap analyses of existing regulatory reporting processes, documenting findings and translating them into clear technical and functional specifications

• Collaborate with development teams to validate requirements through testing and iterative feedback loops, ensuring solutions meet regulatory and business objectives

• Maintain comprehensive documentation of systems, processes, and requirement changes, creating knowledge repositories that support ongoing enhancements

• Mentor team members on AI tool adoption and prompt engineering best practices to institutionalize efficiency gains across the group

## WHAT DO YOU NEED TO SUCCEED?

## Must Have

• 5–7 years of IT Business Analyst experience with strong background in Finance systems and regulatory reporting projects

• Intermediate-level proficiency in SQL and Python for data retrieval, querying, and analytical support

• Demonstrated experience with multi-platform, large-scale financial data environments and finance reporting initiatives

• Exposure to regulatory reporting frameworks and comfort working with complex compliance requirements

• Strong collaborative and communication skills with ability to translate between technical and non-technical stakeholders

## Nice-to-Have

• Previous Background or exposure to Capital Markets, Wealth Management, Accounting & Finance

• Experience with AI/LLM evaluation frameworks or prompt engineering methodologies

• Familiarity with cloud data platforms like Snowflake

• Track record of driving digital transformation or process automation initiatives in financial services

WHAT’S IN IT FOR YOU?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

• Leaders who support your development through coaching and managing opportunities

• Ability to make a difference and lasting impact

• Work in a dynamic, collaborative, progressive, and high-performing team

• A world-class training program in financial services

• Flexible work/life balance options

• Opportunities to do challenging work

## Job Skills

Agile Methodology, Business Data Analysis, Business Process Modeling, Commercial Acumen, Communication, Critical Thinking, Decision Making, Group Problem Solving, Interpersonal Relationship Management, Requirements Analysis

## Additional Job Details

Address: 745 THURLOW ST:VANCOUVER

City: Vancouver

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: TECHNOLOGY AND OPERATIONS

Job Type: Regular

Pay Type: Salaried

Posted Date: 2026-07-29

Application Deadline: 2026-08-29

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

## Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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## Role

Lead Agentic AI Engineer / Architect

## Location

Atlanta, GA- 5days Onsite

## Duration

Long term

## ROLE OVERVIEW

We are seeking an experienced Lead Agentic AI Engineer to design, build, and scale agentic AI workflows for enterprise platforms, intelligent processes, and AI-driven client solutions. In this hands-on leadership role, you will architect multi-agent systems, integrate enterprise-grade LLM capabilities across Azure AI Foundry, OpenAI, and Anthropic Claude, and deliver production-ready AI solutions that meet the strict compliance and reliability standards of the insurance and financial services industry.

This is a highly hands-on technical leadership role where you will influence architecture, engineering practices, platform direction, and delivery execution.

## KEY RESPONSIBILITIES

## Agentic Workflow Design & Development

• Architect and implement multi-agent systems using frameworks such as LangGraph, Semantic Kernel, AutoGen, or CrewAI

• Design agent orchestration patterns including task decomposition, tool use, context management, memory, and human-in-the-loop (HITL) flows

• Build reliable agentic pipelines handling document extraction, reasoning, routing, and structured output generation

• Implement emerging agentic protocols including MCP (Model Context Protocol), Agent-to-Agent (A2A), AG-UI, and CodeAct Code Interpreter patterns

• Design and evaluate agent skills, manage agent harnesses, and maintain agent capability registries

• Design AI solutions capable of leveraging multiple LLM ecosystems including Azure OpenAI, OpenAI, Anthropic Claude, and open-source models based on workload characteristics, governance requirements, and cost/performance considerations

## Full-Stack AI Application Engineering

• Build full-stack AI-native applications using React with streaming agent interactions, AG-UI components, and HITL design patterns

• Implement real-time agent communication interfaces with streaming output, MCP elicitation flows, and event-driven notifications

• Design and expose REST APIs and webhook integrations for agent-to-system and system-to-system interactions

## Azure AI Platform Engineering

• Deploy and manage AI workloads on Azure AI Foundry, Azure OpenAI Service, Azure Machine Learning, and AKS

• Design event-driven and serverless architectures leveraging Azure Functions, Event Grid, Service Bus, and Azure API Management

• Build scalable, resilient, cost-efficient cloud architectures aligned with Azure Solutions Architecture best practices

• Implement Infrastructure as Code (IaC) using Terraform; establish pipeline-as-code and policy-as-code practices across CI/CD workflows

• Containerize AI workloads using Docker and Kubernetes for portable, scalable deployment

## LLM Integration & Enterprise Reliability

• Lead prompt engineering, evaluation, and optimization strategies for OpenAI GPT models, Anthropic Claude, and Azure-hosted models

• Implement RAG architectures using vector databases (Azure AI Search, PostgreSQL pgvector, Cosmos DB) and design extensible, evolvable schema and ontology models

• Focus on making enterprise AI systems reliable, accurate, controllable, and production-ready — especially when working with LLMs like OpenAI GPT models or Anthropic Claude models

• Design guardrails, output validation layers, and hallucination mitigation patterns for high-stakes enterprise workflows

Data Architecture — Relational, NoSQL & Graph

• Design and work across relational databases (PostgreSQL, SQL Server), NoSQL stores (Cosmos DB, MongoDB), and graph databases for knowledge graph and ontology-driven AI use cases

• Model extensible, evolvable schemas and domain ontologies that support AI reasoning, entity resolution, and semantic retrieval

## Security & Identity

• Implement enterprise-grade security across AI systems: OAuth 2.0, Azure IAM, role-based and fine-grained access control (FGAC), managed identities, and credentials management

• Apply Azure security policies, RBAC, and least-privilege principles to AI platform components and agentic workflows

• Ensure secure handling of credentials, API keys, and secrets using Azure Key Vault and secure secrets management practices

## AI-Native Engineering Practices

• Drive AI-assisted software engineering practices across the SDLC using copilots, autonomous coding agents, spec-driven development, and reusable engineering skills

• Leverage coding agents effectively across all SDLC phases — from requirements and design through development, testing, and deployment

• Help establish AI fluency standards and engineering productivity patterns across teams

• Contribute to internal AI accelerators, engineering frameworks, and delivery automation capabilities

• Enable engineering teams to effectively collaborate with AI systems while maintaining quality, governance, and reliability

## Enterprise Governance & Responsible AI

• Implement responsible AI controls including observability, auditability, security, prompt protection, PII handling, and human oversight mechanisms

• Design enterprise-safe AI systems with governance, compliance, and reliability considerations built in from the ground up

• Establish patterns for AI system transparency, explainability, and accountability in regulated industry contexts

## Technical Leadership & Modern Delivery

• Define AI engineering standards, design patterns, and best practices across the engineering organization

• Lead architecture reviews, code reviews, and technical roadmap planning for AI platform capabilities

• Mentor mid-level and junior engineers; foster a culture of AI-native engineering excellence

• Operate effectively in fast-moving, iterative AI delivery environments where experimentation, rapid prototyping, and production hardening coexist

• Balance innovation speed with engineering rigor, scalability, and maintainability

• Communicate complex AI concepts clearly to both engineering and business stakeholders

• Engage confidently with enterprise clients, architecture teams, and delivery leadership to shape AI solution direction

## REQUIRED QUALIFICATIONS

## Agentic AI & LLM Engineering

• 7+ years of software engineering experience with 3+ years in AI/ML or LLM-based systems

• Hands-on experience building production-grade agentic or multi-agent AI workflows

• Proficiency with GenAI agentic frameworks: LangGraph, Semantic Kernel, AutoGen, CrewAI, or LangChain

• Working knowledge of agentic protocols: MCP (Model Context Protocol), A2A (Agent-to-Agent), AG-UI, and CodeAct/Code Interpreter patterns

• Strong experience with context management strategies, agent skill design, agent evaluation, and agent harness construction

• Proficiency with OpenAI APIs (GPT-4o, function calling, Assistants API) and Anthropic Claude APIs

• RAG pipeline design: vector databases (Azure AI Search, PostgreSQL pgvector, Cosmos DB), chunking, embedding, and retrieval strategies

• Ability to pivot across agentic framework approaches and managed agent platforms as the ecosystem evolves

## Full-Stack & API Engineering

• Full-stack experience with React; ability to build streaming agent interaction UIs, AG-UI components, and HITL design patterns

• Strong REST API and webhook design and implementation skills

• Proficiency in Python (intermediate level) and TypeScript for AI application and backend development

## Cloud, Infrastructure & Architecture

• Strong Azure platform experience: Azure AI Foundry, Azure OpenAI, Azure ML, AKS, Azure Functions, API Management, Event Grid, Service Bus

• Infrastructure as Code using Terraform; pipeline-as-code and policy-as-code practices in CI/CD workflows

• Proficiency with containers (Docker, Kubernetes) for scalable AI workload deployment

• Ability to design and implement scalable, resilient, cost-efficient architectures on Azure

• Event-driven architecture and serverless architecture design and implementation

• Azure Solutions Architecture understanding across compute, networking, storage, security, and AI tiers

## Data & Schema Design

• Experience with relational databases (PostgreSQL, SQL Server), NoSQL (Cosmos DB, MongoDB), and graph databases

• Ability to design extensible, evolvable schemas and domain ontologies that support AI reasoning and semantic retrieval

## Security & Identity

• OAuth 2.0 implementation and Azure IAM/RBAC: permissions, policies, managed identities, and fine-grained access control (FGAC)

• Secure credentials management using Azure Key Vault and secrets management best practices

• Security-first mindset for AI systems: prompt protection, PII handling, data boundary enforcement

## Engineering Practices

• Demonstrated ability to leverage coding agents and spec-driven development across all SDLC phases

• Strong GitHub Copilot and AI-assisted development tooling proficiency

• Experience leading technical teams and influencing engineering practices at an organizational level

## NICE TO HAVE

• Experience designing and deploying Engineering Agent Skills that work alongside domain SMEs in human-AI collaborative workflows

• Wholesale insurance domain understanding: submission processing, broker/carrier workflows, market access, and underwriting operations

• Hands-on experience transitioning from custom agentic frameworks to managed agent platforms (Azure AI Agent Service, OpenAI Assistants, etc.)

• Experience with Databricks, MLflow, or Azure Databricks for data and model pipelines

• Prior work on document intelligence platforms (OCR, extraction, classification, IDP pipelines)

• Azure certifications (AI-102, DP-100, AZ-305) or relevant cloud AI credentials

• Contributions to open-source AI frameworks or published technical writing

• Experience working in startup or high-growth engineering environments

• Passion for AI-native engineering transformation and modern software delivery practices

Senior AI Software Architect

Qualifications

Benefits

Responsibilities

Overview