Job description

AI Design Analyst | GenAI | Copilot | Business Analyst | AI Consultant

We are seeking an experienced AI Design Analyst / AI Business Analyst to lead the design and delivery of AI and Generative AI (GenAI) use cases within a complex, enterprise environment.

This is a high-impact role focused on AI workflows, prompt engineering, and Copilot solutions, working across business and technology teams t o define, design, and deliver AI-driven transformation.

Key Responsibilities

• Define and shape AI use cases aligned to business objectives

• Design AI-enabled workflows, prompt patterns, and user journeys

• Apply prompt engineering, LLMs, and Copilot in real-world scenarios

• Conduct process mapping, requirements gathering, and stakeholder workshops

• Assess data readiness, feasibility, and AI risks (ethics, governance)

• Support MVP, prototyping, and AI solution design

Key Skills & Experience

• Strong experience as AI Business Analyst, AI Consultant, or AI Product Analyst

• Hands-on experience with Generative AI, LLMs, prompt engineering, Copilot

• Expertise in process mapping, service design, and user journeys

• Experience working in data, digital, or AI transformation programmes

• Knowledge of Azure AI, Power Platform, or Microsoft AI ecosystem

• Strong stakeholder management across business and technical teams

Desirable

• Experience in financial services or regulated environments

• Understanding of responsible AI, AI governance, and ethics

This is an excellent opportunity to work on cutting-edge AI transformation, driving real business value through AI design, automation, and intelligent workflows

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## About the Opportunity

GoJobs is seeking an experienced AI professional to join an upcoming in-person AI workshop in Downtown Vancouver as an Industry Speaker.

This is a paid, contract-based opportunity for a single workshop and is ideal for professionals who enjoy sharing real-world experiences, inspiring others, and discussing how AI is transforming today's workplace.

As the Industry Speaker, you will deliver an engaging presentation focused on your professional experience using AI, practical business applications, lessons learned, and industry insights, followed by an interactive Q&A session with attendees.

The workshop is part of The AI Edge Workshop Series, an initiative focused on helping professionals develop practical AI skills they can immediately apply in their workplaces.

**Location:** Downtown Vancouver, BC (On-site)

**Job Type:** Contract (Temporary)

**Compensation:** Paid (based on experience)

## Company Description

GoJobs.app is an AI-powered job platform that helps Canadians discover high-quality career opportunities with less effort and more confidence. The platform delivers curated, verified job listings directly to users' inboxes, reducing time spent on unvetted postings and helping users avoid potential scams. Using proprietary AI technology, GoJobs.app ensures each listing meets strict verification standards in business, technology, and artificial intelligence fields. Designed for students, recent graduates, and early-to-mid career professionals, the platform streamlines the job search while promoting trust and transparency in the employment market.

## Responsibilities

As the AI Industry Speaker, you will:

- Deliver a 45-60 minute presentation during an in-person AI workshop.

- Share real-world examples of how AI is being applied within your industry or organization.

- Discuss practical use cases, implementation strategies, successes, challenges, and lessons learned.

- Inspire participants by sharing your professional journey and insights into AI adoption.

- Participate in a short Q&A session with attendees following your presentation.

The total on-site commitment is approximately 1-2 hours, including setup, presentation, and audience questions.

## Qualifications

We're looking for professionals who have:

- At least 3 years of professional industry experience.

- Demonstrated experience using AI in real business or organizational environments.

- Experience implementing or working with AI technologies beyond basic prompting, such as workflow automation, AI agents, no-code/low-code solutions, business process optimization, data analysis, or other practical AI applications.

- Strong communication and public speaking skills.

- The ability to present technical concepts in an engaging and accessible way to a broad audience.

The following are considered strong assets:

- Previous speaking experience at conferences, workshops, webinars, panel discussions, or industry events.

- Experience leading AI initiatives, digital transformation projects, or AI implementation within an organization.

## About The AI Edge Workshop Series

The AI Edge Workshop Series is designed to help professionals build practical AI skills for today's workplace. Rather than focusing solely on Large Language Models such as ChatGPT, the workshops explore a broader range of AI applications, including workflow automation, AI-powered productivity, business process optimization, and emerging workplace technologies.

Each workshop combines practical AI learning with insights from industry professionals who are actively applying AI in their work, giving participants the opportunity to learn from real-world experiences and ask questions directly to experts.

## Note From Recruiter

Hi,

Rameez here from Beaconfire. I hope you're doing well! We're currently hiring for an exciting Agentic AI Python Developer role, and I wanted to reach out to see if you or someone in your network might be interested. This is a fantastic opportunity to work on high-impact projects using modern technologies in a collaborative and growth-oriented environment.

## About BeaconFire

BeaconFire is based in Central NJ, specializing in Software Development, Web Development and Business Intelligence; looking for a strong agentic AI developer who can build and productionize Vertex AI-based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases.

You'll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment.

## Job Responsibilities

- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies.

- Write clean and efficient code, and ensure code maintainability and reusability.

- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).

- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.

- Perform code reviews to ensure code quality and consistency.

- Conduct testing to ensure application quality and reliability.

- Create and maintain technical documentation for web applications.

- Participate in project planning, estimation, and prioritization.

- Stay up to date with the latest technologies for Python development.

- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.

- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.

## Requirements

- Experience in software development in Python3.

- Decent understanding of the software development/testing life cycle.

- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc.).

- Experience with version control tools, such as Git.

- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).

- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.

- Solid knowledge of vector search concepts and at least one vector DB in production.

- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.

## Preferred Qualifications

- Master's Degree in Computer Science, Software Engineering, or related field.

- 1+ year professional experience in Python web application development with either Flask or Django.

- Experience in RESTful API development in Python.

- Understanding of Python web application frameworks such as Flask or Django.

- Experience with Cloud services, such as AWS.

- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage).

- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).

- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.

- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.

- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).

## Contact

If you're currently exploring opportunities or open to learning more, I'd love to connect. Please feel free to share your updated resume or reach out directly at rameezk@beaconfireinc.com.

Rameez Khan

Technical Recruiter

Beaconfire

Are you passionate about using technology to improve organizational effectiveness and build stronger communities?

We're looking for a strategic, curious and collaborative leader who can bridge business and technology, helping turn ideas into practical solutions that enable our people and organization to thrive so that we can better strengthen our community.

## About Toronto Foundation

Toronto Foundation is the home of collective investing and impact. We're a registered charity and one of 208 community foundations in Canada. Our research tells us that social cohesion is Toronto's most important vital sign, so we're using our tools and resources to build community wellbeing.

We are home to over 1,000 community-minded philanthropists and charitable organizations and collectively administer over $550 million in charitable assets. Together with our fundholders, we granted over $37.7 million in 2025 to organizations working to improve the quality of life in Toronto. We are committed to listening, learning and working in partnership with communities and invite you to join us in tackling the inequities we face in our city.

## Who We Are Looking For

You're a curious, strategic thinker who enjoys solving complex organizational challenges through technology, data and innovation. You see systems not as ends in themselves, but as tools that enable people to make better decisions, work more effectively and create greater impact. Equally comfortable discussing enterprise architecture with technical partners or facilitating conversations with senior leaders, you naturally bridge business needs with practical technology solutions.

Reporting to the Chief Operating Officer (COO), the Director, Enterprise Systems, Data & AI serves as a trusted business partner across the organization. The role provides strategic leadership for enterprise systems, data governance, reporting and analytics, Artificial Intelligence (AI) enablement and digital transformation, ensuring Toronto Foundation's technology investments support informed decision-making, operational excellence and long-term organizational success.

Working collaboratively across all departments, you build strong relationships, challenge existing ways of working and help others embrace new technologies and processes with confidence. You are equally comfortable thinking strategically, leading change and rolling up your sleeves to solve problems, guide implementation and deliver practical results. You stay connected to emerging technologies and industry best practices, continuously identifying opportunities to strengthen organizational effectiveness, improve decision-making and enable Toronto Foundation to deliver greater impact.

## Core Areas of Responsibility

### Enterprise Systems & Digital Enablement

Lead the strategy, governance, integration, optimization and ongoing evolution of enterprise systems and digital capabilities that support organizational effectiveness, scalability and informed decision-making.

**Key Responsibilities**

- Establish and maintain effective relationships with managed service providers and technology vendors, including performance monitoring, contract oversight, service delivery expectations and alignment with organizational priorities.

- Build and leverage relationships with technology partners, sector peers and professional networks to ensure Toronto Foundation capitalizes on emerging practices, innovations and insights that enhance organizational effectiveness and digital maturity.

- Lead the ongoing optimization, governance and evolution of Toronto Foundation's technology ecosystem, including Salesforce, Microsoft 365, SharePoint, Teamflect, Sage Intacct integrations and other business platforms.

- Establish and oversee a governance framework for the responsible, secure and effective use of artificial intelligence across Toronto Foundation.

- Oversee enterprise systems, technology, data architecture and platform integrations to ensure organizational systems remain aligned, scalable and capable of supporting reliable reporting, analytics and decision-making.

- Work closely with the COO to establish and maintain governance, policies, standards and oversight processes for enterprise systems, data, artificial intelligence and emerging technologies, ensuring responsible use and appropriate management of organizational risk.

- Partner with departments to understand business requirements and translate them into effective technology solutions.

- Partner with departments to assist in the development and refinement of processes to ensure that teams are fully utilizing Toronto Foundation's systems and technology.

**Success Measures**

- Strong adoption and satisfaction across enterprise systems and digital platforms.

- Successful delivery of priority technology and systems initiatives.

- Improved integration, reliability and scalability of enterprise systems.

- Reduced operational inefficiencies through automation and process improvement.

- Effective governance and risk management practices for systems, data and emerging technologies.

### Data, Reporting & Decision Support

Provide enterprise-wide leadership for data governance, reporting, analytics and decision-support that enables informed organizational decision-making.

**Key Responsibilities**

- Act as a strategic business partner to departments across Toronto Foundation, translating business needs into data, reporting, systems, automation and technology solutions that support operational effectiveness and strategic decision-making.

- Ensure and drive the quality, integrity, consistency and accessibility of organizational data.

- Work closely with the COO in the design and delivery of enterprise reporting, dashboards and performance metrics aligned with organizational priorities and Objectives and Key Results (OKRs) for both internal and external stakeholders.

**Success Measures**

- Improved data quality, integrity and governance maturity across Toronto Foundation's teams and enterprise systems.

- Increased use of reporting and analytics in organizational decision-making.

- Timely, accurate and meaningful reporting to management and governance bodies.

- Increased visibility into organizational performance, outcomes and strategic priorities.

### Organizational Learning & Enablement

Leads organizational enablement, adoption and capability-building initiatives that help staff effectively leverage enterprise systems, data, digital tools and new technologies to improve performance, collaboration and decision-making.

**Key Responsibilities**

- Lead change management, adoption, training and capability-building initiatives that enable staff to effectively leverage enterprise systems, AI tools, digital platforms and new ways of working.

- Coordinate annual cybersecurity awareness training, cyber preparedness, response & remediation initiatives and technology-related business continuity planning in partnership with managed service providers and external specialists.

- Support a culture of continuous improvement, collaboration, learning and adaptability across the organization.

- Lead organizational change management and user adoption initiatives associated with new systems, technology and digital capabilities.

**Success Measures**

- Increased adoption and value realization from enterprise systems and digital investments.

- Enhanced staff capability and confidence in leveraging technology, data and AI tools.

- Effective implementation of organizational change initiatives.

- Strengthened cybersecurity awareness and technology risk preparedness.

- Continuous improvement and innovation embedded in organizational practices.

## What We Offer

Full-time employment with an excellent benefits package that includes:

- 35-hour work week.

- Hybrid workplace.

- 4 weeks of vacation per year.

- Summer Fridays off between Canada Day and Labour Day.

- RRSP matching.

- Family health plan.

- Salary range between $100,000 p.a. - $120,000 p.a.

We believe the greatest ideas come from a diverse mix of minds, backgrounds and experiences and are committed to cultivating an inclusive work environment. Toronto Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply, especially those from marginalized communities.

Toronto Foundation is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

Find the full list of knowledge, skills, attributes, required qualifications and what we offer at: torontofoundation.ca/were-hiring-director-enterprise-systems-data-ai

## Submission Details

In lieu of a standard cover letter, please respond to the following statements in less than 750 words describing:

- What attracted you to this opportunity and Toronto Foundation.

- Which aspects of your experience best prepare you to succeed in this role.

- What you see as the greatest opportunity for organizations to improve through systems, data, AI, or digital enablement.

You may submit your response to the above question along with your resume in confidence to resumes@torontofoundation.ca and include the position title and your name in the subject line of the email (e.g. Director, Enterprise Systems, Data & AI, First Name and Last Name).

Please ensure both documents are attached in a single PDF file.

Applications will be assessed on a rolling basis and the posting will close on August 24, 2026, at 5pm EDT.

Applicants must be eligible to work in Canada at the time of application. We thank all applicants for their interest in Toronto Foundation. However, due to the high volume of applications we receive, only those considered for an interview or those invited to participate in an assessment will be contacted.

# AI Practice Lead

**Location:** Hybrid - London (2-3 days per week)

Want to build an AI Practice rather than inherit one?

We're partnering with a global technology consultancy that's making a major investment in AI across the UK. Backed by an established international AI capability and a strong portfolio of enterprise clients, they're looking for an experienced AI Practice Lead to establish and grow their UK offering.

This isn't a role where you'll disappear into a large corporate machine.

You'll be given the autonomy to shape the practice, influence strategy, win exciting AI engagements and build a team around you, all while remaining technically credible and working alongside some incredibly experienced AI specialists.

## What You'll Be Doing

- Building and leading the UK AI Practice.

- Working directly with enterprise clients to understand business challenges and identify AI opportunities.

- Designing AI and Data solutions that solve real business problems.

- Leading solution architecture and providing technical oversight across client engagements.

- Collaborating with UK stakeholders and global delivery teams.

- Helping shape new AI offerings, accelerators and go-to-market propositions.

- Recruiting, mentoring and developing an AI consulting team as the practice grows.

- Remaining close enough to delivery to provide technical leadership when required.

## What We're Looking For

You'll likely come from a consultancy or professional services background and have progressed through Software Engineering or Solution Architecture into AI leadership.

You'll have experience across areas such as:

- Enterprise AI.

- Generative AI.

- Large Language Models (LLMs).

- Retrieval Augmented Generation (RAG).

- AI Solution Architecture.

- Data & AI Platforms.

- Cloud Technologies (Azure, AWS or GCP).

- Consulting and Solution Design.

- Technical Leadership.

Most importantly, you'll enjoy building things.

Whether you've already built an AI practice before or you're ready to take that next step, we're looking for someone who wants to create something with genuine ownership and long-term impact.

## Why Join?

- Build a brand-new UK AI Practice with full executive backing.

- Work alongside an established global AI capability with proven delivery experience.

- Influence the future direction of AI within a growing consultancy.

- Enjoy genuine autonomy with minimal bureaucracy.

- Recruit and build your own team.

- Work across enterprise clients in Financial Services, Energy & Utilities and other regulated industries.

- Competitive salary, bonus and benefits package.

- Hybrid working with excellent career progression.

If you're an AI consulting leader who enjoys combining strategy, technical leadership and practice building, I'd love to tell you more.

Apply today or send me a message for a confidential conversation.

**Location:** Atlanta, GA / Remote

**Department:** Legal

**Reports to:** Assistant General Counsel - Privacy, AI, and Data Governance

## Why Join Omnicell?

Omnicell is building its AI governance program and we are looking for a Manager, AI Frameworks and Standards to join our Legal Department and help decide how AI is designed, evaluated, and trusted across the company.

As a foundational member of Omnicell's AI Governance team, you will help the organization select, tailor, and operationalize an appropriate AI risk management framework, drawing on standards such as the NIST AI Risk Management Framework and ISO/IEC 42001, and translate them into practical controls, processes, and documentation. Partnering with engineering, product, privacy, security, and quality teams, you will help the business produce the artifacts that make AI systems transparent and accountable, including model cards and data cards.

## What You'll Do (Key Responsibilities)

As a Manager, AI Frameworks and Standards, you will:

- Primary Impact: Give Omnicell a defensible, standards-based foundation for AI, so that teams across the company can build and deploy AI systems with confidence, and so that customers, regulators, and patients can trust how those systems are governed.

- Framework selection - Lead the selection and adoption of an AI risk management framework appropriate to Omnicell's business, drawing on standards such as the NIST AI Risk Management Framework and ISO/IEC 42001.

- Framework operationalization - Translate framework requirements into practical policies, controls, processes, and documentation that fit Omnicell's existing risk management and product development practices.

- Gap analysis and remediation - Conduct gap analyses against target frameworks and standards, and develop and track remediation roadmaps to close them.

- AI transparency artifacts - Partner with data science, engineering, and product teams to develop AI transparency and accountability artifacts, including model cards, data cards, and system cards.

- Documentation standards - Establish standards, templates, and guidance for AI documentation so that artifacts are consistent, complete, and maintained across the AI lifecycle.

- Cross-framework control mapping - Map controls across frameworks and regulations, such as the NIST AI RMF, ISO/IEC 42001, and the EU AI Act, to reduce duplicate effort and ensure key requirements are covered.

- Governance structures - Support the design and operation of AI governance structures, such as an AI governance committee, including roles, responsibilities, and review cadences.

- Audit and certification readiness - Prepare the organization for AI audits, assessments, and potential ISO/IEC 42001 certification, including evidence collection and control documentation.

- AI literacy and enablement - Build AI literacy by developing training and guidance that help teams understand and apply the chosen frameworks and standards.

- Horizon scanning - Monitor evolving AI frameworks, standards, and regulatory expectations, and recommend updates that keep Omnicell's program current.

## Minimum Qualifications

### Who You Are (Qualifications & Skills)

- 6+ years of experience in AI governance, risk management, compliance, audit, or a related function, including work with control frameworks or standards.

- Demonstrated experience adopting or operationalizing a risk management framework or standard, such as the NIST AI RMF, ISO/IEC 42001, ISO 27001, or NIST CSF.

- Strong working knowledge of AI risk management frameworks and standards, including the NIST AI Risk Management Framework and ISO/IEC 42001.

- Experience translating frameworks, standards, or regulations into practical controls, processes, and documentation.

- A working understanding of machine learning concepts and the AI lifecycle, from data and model development through deployment and monitoring.

- Familiarity with AI transparency and documentation artifacts, such as model cards, data cards, and system cards, and with what makes them effective.

- Familiarity with how AI standards intersect with regulations such as the EU AI Act and with adjacent frameworks such as ISO 27001.

- Strong analytical skills, with the ability to perform gap analyses and map controls across multiple frameworks.

- A track record of partnering across data science, engineering, product, privacy, security, and quality teams, with excellent stakeholder management skills.

- The ability to explain technical and regulatory concepts clearly to both technical and non-technical audiences.

- The ability to operate independently in a fast-moving environment, manage competing priorities, and stay highly organized, with sharp attention to detail and a commitment to thorough documentation.

## Preferred Qualifications

- Bachelor's degree, or equivalent practical experience.

- Experience developing AI documentation artifacts, such as model cards, data cards, or system cards.

- Healthcare, life sciences, or other regulated-industry experience.

- Relevant certifications, such as AIGP, CIPM, or CRISC.

- Experience with AI governance, GRC, or model documentation tooling, such as ServiceNow, OneTrust, Credo AI, or similar platforms.

- Experience preparing an organization for audits or certification against a recognized framework or standard.

- Relevant advanced education, such as a degree or coursework in law, data science, computer science, engineering, or a related field, or equivalent experience.

## Work Conditions

- Flexibility in working hours as needed.

- Some travel, ~10%.

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.

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.

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

Artificial Intelligence (AI) DevOps