Job Summary

We are seeking a senior Data Engineer to design and build enterprise-scale data platforms that enable AI/ML and agentic systems. This role focuses on engineering AI-ready data foundations—ensuring data is high-quality, governed, and optimized for advanced analytics and autonomous AI agents.

Sr. Data Engineer - AI-ready-Enterprise-Scale Data Platforms

Responsibilities

• Architect and build scalable, cloud-native data platforms supporting AI/ML and agent-based applications

• Design pipelines to deliver AI-ready data (curated, labeled, contextualized, and feature-rich datasets)

• Develop robust data ingestion, transformation, and serving layers (batch + real-time)

• Enable semantic data models, knowledge graphs, and vector databases to power AI agents and LLMs

• Implement data quality, lineage, and governance frameworks to ensure trust and compliance

• Collaborate with AI/ML teams to support feature engineering, model training, and inference pipelines

• Optimize data architectures for performance, scalability, and cost efficiency

• Mentor teams and establish best practices for AI-driven data engineering

Qualifications

• 10+ years of experience in data engineering and platform architecture

• Strong expertise in cloud platforms (Azure, AWS, or GCP) and modern data ecosystems

• Familiarity with AI/ML data pipelines, feature stores, and model lifecycle support

• Experience with LLM data pipelines

• Strong understanding of data governance, metadata management, and security frameworks

Preferred Qualifications

• Experience building data platforms for AI agents / agentic workflows

• Knowledge of RAG (Retrieval Augmented Generation) architectures and semantic search

• Exposure to data mesh / domain-oriented data architectures

• Experience in large-scale enterprise transformation programs

• AI startup

• Hiring a Senior AI Developer

About Our Client

This opportunity is with a medium-sized organization that operates within the AI startup space. The company is committed to leveraging advanced technologies to provide innovative solutions and drive meaningful change across its sector.

Job Description

• Design, develop, and deploy AI algorithms and models to solve specific business problems.

• Collaborate with cross-functional teams to understand project requirements and deliver tailored AI solutions.

• Optimize existing AI models for performance, scalability, and accuracy.

• Analyze large datasets to derive insights and inform decision-making processes.

• Conduct research to stay updated on emerging AI trends and technologies.

• Develop and maintain documentation for AI systems and processes.

• Ensure the ethical and responsible use of AI technologies in all applications.

• Provide technical guidance and mentorship to junior team members as needed.

MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state, or local law. MPI encourages applications from minorities, women, the disabled, protected veterans, and all other qualified applicants.

MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.

The Successful Applicant

A Successful Senior AI Developer Should Have

• A strong educational background in computer science, machine learning, or a related field.

• Proficiency in programming languages such as Python, R, or Java.

• Experience with popular AI frameworks and libraries like TensorFlow, PyTorch, or Keras.

• Knowledge of data pre-processing, model training, and evaluation techniques.

• Strong analytical and problem-solving skills with a focus on delivering results.

• The ability to work collaboratively in a team-oriented environment.

What's on Offer

• A competitive salary ranging from $175,000 to $200,000 USD annually.

• A permanent position with a medium-sized company offering stability and growth potential.

• The chance to make a meaningful impact through innovative AI solutions.

If you're passionate about artificial intelligence and eager to take on exciting challenges, we encourage you to apply for the Senior AI Developer position today!

Contact: Joe Porretta

Quote job ref: JN-052026-7010598

Pure Minds Academy is looking for an experienced STEM, robotics, and coding trainer to lead engaging, hands-on STEM, robotics, and coding sessions for students aged 7–14 during our Summer Camp.

The ideal candidate should have:

• Experience delivering STEM or robotics workshops to school-age children, especially in the 7–9 and 10–14 age groups

• Strong command of at robotics using kits like Arduino, Microbit, Spike Prime, EV3, 3D printing, TinkerCad, etc.

• Confidence in classroom management and the ability to keep sessions structured and productive

• A track record of managing diverse learning levels within a group, offering appropriate challenges and support

• Ability to plan and run sessions that are interactive, time-efficient, and goal-oriented

• Strong communication skills with students, co-trainers, and camp coordinators

We’re seeking individuals who can maintain a positive learning environment, manage their time well across short-format lessons, and ensure each child remains actively engaged and learning throughout.

Job Types: Part-time, Temporary

Pay: AED1,200.00 - AED1,500.00 per week

Ability to commute/relocate:

• Dubai: Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):

• “Are you available for all scheduled days and timings of the winter camp? Have you worked in similar camp roles before?”

• Do you have any references or feedback from previous similar training roles that you could share?

• Can you share how you support children who may be at different skill levels within the same group?

Work Location: In person

About the Role

The AI Evaluations Team Lead II is responsible for leading the successful delivery of AI evaluation programs, ensuring high-quality execution, operational excellence, and alignment across multiple workstreams. This role oversees a team of AI Evaluations Specialists and SMEs, managing capacity, prioritisation, and execution to ensure evaluation outputs are delivered accurately, consistently, and at scale.

As the primary operational lead for the program, the Team Lead partners closely with program teams to align on priorities, manage delivery commitments, escalate risks, and ensure evaluation insights translate into measurable improvements across AI-powered support experiences. Their impact extends beyond team performance to driving program effectiveness, scalability, and business insights.

What the Candidate Will Do

• Lead and develop a team of AI Evaluations Specialists and SMEs, fostering a high-performance culture focused on quality, accountability, and continuous improvement.

• Own delivery outcomes across evaluation programs, ensuring work is prioritized, executed, and completed against agreed timelines, quality standards, and stakeholder expectations.

• Manage workforce planning, capacity allocation, and workload prioritization across multiple evaluation workstreams and business priorities.

• Partner with Program teams to align on upcoming initiatives, sprint planning, evaluation requirements, and delivery commitments.

• Act as the primary escalation point for operational risks, delivery blockers, resource constraints, and cross-functional dependencies.

• Ensure evaluation findings, insights, and recommendations are effectively communicated to stakeholders and translated into actionable improvement opportunities.

• Drive operational governance across evaluation programs, including performance reviews, delivery tracking, quality oversight, and risk management.

• Monitor program health and performance metrics, identifying trends, gaps, and opportunities to improve efficiency, quality, and business impact.

• Coordinate bug identification, issue escalation, and follow-through with Product, Engineering, and Triage teams to support timely resolution and validation.

• Support the continuous improvement of evaluation methodologies, workflows, quality frameworks, and operational processes.

• Lead hiring, onboarding, coaching, and performance management activities to build team capability and support organizational growth.

• Represent the evaluations function in cross-functional forums, ensuring stakeholder alignment on priorities, risks, dependencies, and outcomes.

Basic Qualifications

• Demonstrated experience leading teams responsible for delivering operational, quality, analytics, support, risk, trust & safety, or similar programs in complex environments.

• Proven ability to manage capacity planning, workload prioritization, and resource allocation across multiple concurrent workstreams.

• Strong stakeholder management skills, with experience partnering effectively with Product, Engineering, Operations, Policy, Quality, or equivalent cross-functional teams.

• Experience driving operational delivery against defined goals, timelines, service levels, or business outcomes.

• Strong program and project management capabilities, including risk identification, dependency management, escalation handling, and execution tracking.

• Demonstrated ability to translate business priorities into clear operational plans and execution strategies.

• Strong analytical and problem-solving skills, with the ability to assess operational challenges, identify solutions, and make data-informed decisions.

• Experience managing performance, coaching team members, and developing talent within high-performing teams.

• Excellent communication skills, including the ability to influence stakeholders, align priorities, and communicate complex topics clearly across technical and non-technical audiences.

• Experience operating in fast-paced, ambiguous environments where priorities, products, and processes evolve rapidly.

Preferred Qualifications

• Experience working with AI-powered products, AI quality programs, customer support operations, Trust & Safety, or digital customer experience programs.

• Familiarity with AI evaluation methodologies, quality assurance frameworks, policy governance, or root cause analysis practices.

• Experience working with Jira, dashboards, workforce planning tools, and operational reporting systems.

• Understanding of common GenAI concepts and failure modes, including hallucinations, retrieval failures, grounding issues, and instruction-following errors.

• Experience supporting global or multi-regional programs involving multiple stakeholders and operational dependencies.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

• Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.

AI Productivity Analyst, Data Analytics

Location: Ontario (Toronto preferred)

Contract: 6 months

Pay Rates:

• T4: $57.71 (T4 only)

What You'll Do

• Partner with Product Managers, Engineering leaders, and cross-functional teams to define business questions, KPIs, and analytical frameworks for AI and productivity initiatives.

• Analyze large, complex datasets to understand AI adoption, user behavior, workflow efficiency, and business outcomes.

• Identify trends, opportunities, and friction points that influence how teams and customers interact with AI-enabled capabilities.

• Develop dashboards and visualizations using tools such as Power BI, Looker, or similar BI platforms to communicate insights effectively.

• Apply statistical analysis, forecasting, experimentation, and predictive modeling techniques to evaluate initiative performance and guide investment decisions.

• Build trusted datasets, semantic layers, and scalable analytics models that enable self-service reporting and informed decision-making.

• Ensure data quality and integrity by implementing best practices in data collection, transformation, and governance.

• Translate technical findings into clear, actionable recommendations for both technical and non-technical stakeholders.

What You'll Bring

• 8+ years of experience in Data Analytics, Business Intelligence, or related analytical roles, ideally within a technology or SaaS environment.

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or another quantitative discipline.

• Hands-on experience using AI tools such as Claude Code, Cursor, or similar to enhance productivity, automate analysis, and prototype solutions.

• Strong SQL skills and proficiency in Python or R for data analysis, statistical modeling, and automation.

• Experience working with modern data stacks and ELT technologies such as Snowflake, dbt, Airflow, or similar platforms.

• Proven experience designing scalable analytics data models and governed datasets that support enterprise reporting and decision-making.

• Expertise with visualization tools such as Looker, Power BI, or equivalent BI platforms.

• Familiarity with cloud platforms such as AWS or Azure.

• Strong analytical thinking, problem-solving abilities, and the ability to independently drive insights from ambiguous or complex datasets.

• Excellent communication skills with the ability to influence stakeholders across technical and business teams.

Nice to Have

• Experience working within SaaS companies or Platform Engineering organizations.

• Familiarity with Autodesk products and the industries they serve.

• Master's degree in a quantitative discipline.

Data Science Expert – AI Content Specialist

About The Role

What if your deep knowledge of machine learning, statistics, and data engineering could directly shape the next generation of AI? We're looking for Data Science Experts to stress-test and improve advanced AI models — designing hard problems, writing gold-standard solutions, and catching the reasoning errors that make AI unreliable.

This is a fully remote, flexible contract role built for working data scientists, researchers, and advanced students who want meaningful, intellectually engaging work on their own schedule.

• Organization: Alignerr

• Type: Hourly Contract

• Location: Remote

• Commitment: 10–40 hours/week

What You'll Do

• Design Challenging Problems — Craft advanced data science scenarios across domains like hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more

• Author Ground-Truth Solutions — Build rigorous, step-by-step reference solutions including Python/R scripts, SQL queries, and mathematical derivations that set the standard for correct AI responses

• Audit AI-Generated Code — Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and correctness

• Sharpen AI Reasoning — Identify logical flaws such as data leakage, overfitting, or improper handling of imbalanced datasets, and provide structured feedback that improves how models think

Who You Are

• Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field

• Strong foundational knowledge in supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP

• Able to communicate complex algorithmic and statistical concepts clearly in written form

• Precise and detail-oriented when reviewing code syntax, mathematical notation, and statistical conclusions

• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, data quality evaluation, or model evaluation workflows

• Familiarity with production-level data science practices such as MLOps or CI/CD for models

Why Join Us

• Work directly with industry-leading large language models on technically stimulating challenges

• Fully remote and asynchronous — work when it suits you, from anywhere

• Freelance autonomy with consistent, task-based structure

• Collaborate with top AI research labs on problems that actually matter

• Potential for ongoing contract work and project renewals as new models launch

About the Role

CoSA VFX is a global, Emmy Award–winning visual effects studio with teams in Los Angeles, Atlanta, Vancouver, and Toronto, known for high-end episodic, feature, and streaming work. As we scale our generative pipeline, we’re hiring an AI VFX Technical Director to own the architecture behind it.

This is a fully remote senior, pipeline-owning role. You’ll set the technical direction for how CoSA uses generative video across shows — building the tooling, making the model and infrastructure calls, and elevating the work of the artists who depend on it.

What You’ll Do

• Architect, build, and maintain the studio’s production-grade ComfyUI pipelines and reusable workflow templates.

• Own model strategy: evaluate and integrate new video models as they ship, and decide what belongs in the pipeline.

• Solve the hardest problems — temporal stability, character and identity consistency across shots, motion control, and seamless integration of generated elements into live-action.

• Develop custom nodes and automation to speed up iteration across multiple productions.

• Manage local GPU inference, model weights and LoRAs, and VRAM/throughput tradeoffs against production deadlines.

• Partner with VFX supervisors and creative leads to translate director intent into reproducible technical setups.

• Mentor generalists and artists, and document pipelines so the work is repeatable and not locked in one person’s head.

What You’ll Need

• Deep, demonstrated mastery of ComfyUI and Griptape — complex custom graphs, conditioning, control mechanisms, and debugging difficult node trees.

• Broad, current fluency across video models, including local open-source options (Wan 2.2 / 2.6, LTX-2, HunyuanVideo) and the leading proprietary models (Kling 3.0, Google Veo 3.1, Runway Gen-4.5, Seedance 2.0, Luma Ray3).

• Strong command of image-model control tooling (ControlNet-style conditioning, LoRAs, IP-Adapters, inpainting) as it feeds video.

• Python scripting for custom nodes and automation.

• Real VFX fundamentals and an understanding of how generated content integrates with a traditional pipeline (compositing, rotoscoping, color).

• Experience managing local GPU environments (CUDA, model and dependency management).

Strongly Preferred

• Prior senior, TD, or lead experience at a VFX or animation house.

• Experience training or fine-tuning custom models and LoRAs.

• Familiarity with API-based generation pipelines and batch processing.

• Experience with Nuke and a broader post pipeline.

Who You Are

• A builder and problem-solver who can untangle a pipeline without a roadmap.

• Current by instinct — you track the landscape and know which tool fits which shot.

• A force multiplier whose work makes everyone around them faster and better.

About Us

Wadhwani AI Global (WAIG) is a non-profit AI research and product organisation building AI for social impact across the Global South, outside India. We work with governments, multilateral institutions, foundations, and on-the-ground partners to deploy AI solutions in agriculture, health, and education at population scale. With deepening operations in Rwanda, Kenya, Ethiopia, and across the African continent, we are entering a new phase of growth — building product capability that matches the scale and ambition of our partnerships.

Role Overview

The Head of Product will lead products across the organisation. This is a senior leadership role responsible for the AI products WAIG builds, deploys, and scales across health, education, agriculture, and other social impact verticals. This role owns the product function end-to-end and partners closely with leadership on strategy, delivery, and donor engagement.

• Product Strategy & Vision

• Define the product vision, roadmap, and priorities across health, education, and agriculture verticals

• Translate WAIG's mission and donor commitments into a coherent multi-year product strategy

• Make build-vs-partner-vs-consume decisions for AI capabilities across the portfolio

• Drive product positioning in donor conversations, government engagements, and partner discussions

• Delivery & Execution

• Own end-to-end delivery of AI products from concept through deployment and scale

• Set and enforce product standards: discovery rigour, technical specs, evaluation criteria, deployment quality

• Run a disciplined product lifecycle: hypothesis → MVP → field evaluation → iteration → scale

• Ensure timely, high-quality delivery against grant commitments and donor milestones

• Team Leadership

• Build and lead the product organisation — recruit, mentor, and grow product talent across geographies

• Foster a strong product culture: user-obsessed, evidence-driven, technically rigorous

• Partner closely with the Technology team on engineering capacity, infrastructure, and ML delivery

• External Engagement

• Represent WAIG's product capability in conversations with governments (Ministry of ICT Rwanda, Smart Africa, ministries of health and education across Africa), multilateral institutions (UNICEF, UNDP, World Bank), and donors (Gates Foundation, others)

• Lead product portions of major proposals and donor pitches; contribute to fundraising in partnership with the Growth lead

• Build relationships with peer organisations, research labs, and AI-for-good ecosystems

• Cross-Functional Collaboration

• Partner with senior leadership on overall organisational strategy and delivery commitments

• Work with the Growth and Fundraising lead on pipeline shaping and proposal development

• Support the broader leadership team in operationalising the WAIG strategy

Experience

What We Are Looking For

• 15+ years of experience in AI product management

• Track record of building and shipping AI/ML products at scale — in real-world deployment contexts, not pure consumer or pure research

• Direct experience working with governments on technology deployments

• Experience working with or in Africa, the Global South, or comparable contexts strongly preferred

Capability

• Strong technical depth — able to engage credibly with ML engineers, evaluate technical trade-offs, and shape solution architecture

• Outstanding strategic and structured thinking — able to set priorities, kill the wrong projects, and drive focus

• Excellent communicator — equally comfortable in a Minister's office, a donor pitch, a field site, and a code review

• Strong people leader — has built and grown product teams in distributed, multi-geography settings

Disposition

• Mission-aligned — genuinely motivated by AI for social impact, not just by the title or the geography

• Comfortable with ambiguity, frequent travel, and the realities of working in emerging-market deployment contexts

• High ownership; low ego; bias to action

Location: Washington, DC (On-site)

Job Type: Full-Time

Clearance Requirement: Active TS/SCI

Position Overview

US Citizenship is Required

Praescient Analytics is seeking a highly skilled and visionary Lead AI/ML Engineer to support a critical need with the Defense Intelligence Agency (DIA). This critical role provides top-tier technical leadership for advanced Artificial Intelligence, Machine Learning, and Agentic AI development efforts under the agency's Digital Modernization Accelerator (DMA) and CIO Enterprise Services Division (CIO7) initiatives.

The ideal candidate will bridge the gap between breakthrough AI experimentation and robust operationalization, ensuring that all deployed models conform to rigorous Intelligence Community standards while driving the deployment of next-generation human-machine teaming capabilities.

Core Responsibilities

• Technical Leadership & Architecture: Lead the design, prototyping, development, and operationalization of enterprise-wide AI/ML capabilities, with a particular focus on advanced generative AI and agentic artificial intelligence systems.

• Lifecycle Management (MLOps): Establish and maintain a secure, scalable, and standardized AI/ML Operations environment that handles the entire lifecycle from data curation and preparation through automated deployment and continuous model retraining.

• Compliance & Model Governance: Ensure all AI/ML models, training pipelines, and algorithms strictly meet the accreditation criteria mandated by the DIA Quality Assurance Framework (QAF) and relevant ethical AI directives (e.g., Memo U-23-0491/DI).

• Assurance & Validation: Lead model validation, adversarial robustness testing, explainability evaluations, and bias detection analysis to safeguard the integrity of intelligence capabilities.

• Cross-Functional Collaboration: Serve as the primary technical interface between data scientists, software engineers, DevSecOps teams, and mission analysts to translate complex technical architectures into analytic tradecraft solutions.

• Innovation & Research: Stay at the forefront of emerging AI breakthroughs (such as transformer architectures and complex reasoning agents) and formulate proactive recommendations to address complex national security challenges.

Minimum Qualifications

• Clearance: Must possess an active federal TS/SCI clearance.

• Education: An advanced degree (Master’s or PhD preferred) in Computer Science, Data Science, Mathematics, or a highly related technical field.

• Experience: Demonstrated senior-level experience leading end-to-end AI/ML implementation projects and engineering robust, secure AI operations (MLOps) infrastructure in federal or secure environments.

Preferred Qualifications

• Years of Experience: 13+ years of specialized experience designing, developing, and embedding advanced neural networks or predictive statistical modeling into production software.

• Technical Domain Expertise: Proven experience with state-of-the-art transformer architectures, large language models (LLMs), reinforcement learning, and building complex agentic systems.

• DIA Framework Knowledge: Deep familiarity with DIA QAF compliance, model security verification, and the transition of pipelines into cloud-native Platform as a Service (PaaS) or containerized architectures (Kubernetes/OpenShift).

• Security & Adversarial Defence: Demonstrated experience implementing zero-trust concepts within data architectures and engineering defenses against model poisoning, membership inference, data exfiltration, or adversarial manipulation.

• Thought Leadership: Published peer-reviewed research or widely recognized technical contributions to the broader defense/intelligence AI/ML community.

What You Can Expect From Us

• Real opportunity for career growth in an environment where your achievements will be celebrated

• Constant collaboration with numerous teams to ensure client success

• A team that respects and embraces your ideas and expertise

• Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain

• A workplace dedicated to supporting and bettering public safety and government agencies

Benefits

• Very competitive salary based on qualifications and experience

• Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)

• 401(k) with company match

• Travel & performance incentives

• 3 weeks paid time off (plus Federal Holidays)

• $5K annual training allowance

Praescient Analytics is a Certified Woman-Owned Small Business (WOSB) with over a decade of expertise in advanced analytics, engineering, and DevOps, specializing in transforming complex data into actionable intelligence for informed decision-making. Since 2011, we have supported over 40 organizations across diverse domains, including military intelligence operations, financial and fraud investigations, and insider threat detection.

Our team of experts—skilled in cloud computing, artificial intelligence, machine learning, data science, DevOps, and engineering—brings deep experience in solving complex challenges. With a proven track record in federal contracting, we deliver tailored, high-impact solutions designed to enhance operational efficiency, ensure mission success, and address the evolving needs of our clients. Praescient's innovative and adaptive approach makes us a trusted partner in delivering data-driven insights and technological excellence for critical missions.

Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.

US Citizenship Required

Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

Enterprise AI Solution Architecture

• Architect end-to-end enterprise AI solutions that integrate AI models, data platforms, and enterprise systems into cohesive, production-grade architectures

• Define integration patterns across AI services, APIs, data pipelines, and core business systems to ensure interoperability and extensibility

• Translate complex business requirements into scalable AI-powered solution designs, with clear articulation of tradeoffs, risks, and value drivers

• Lead architecture design reviews and provide hands-on guidance to delivery teams across active engagements

• Contribute to practice development by building reusable assets, frameworks, and point-of-views that strengthen our AI delivery capability

Platform Engineering & Cloud Infrastructure

• Design and implement Azure-based AI platform infrastructure that supports scalable model deployment, data ingestion, and application integration

• Define infrastructure-as-code standards and CI/CD pipeline patterns for AI workloads, enabling repeatable and auditable deployments

• Architect cloud-native environments optimized for AI throughput, cost efficiency, and operational resilience

• Establish platform engineering standards that enable development teams to build, test, and ship AI solutions faster and more reliably

• Evaluate and recommend emerging platform capabilities, cloud services, and tooling that advance our delivery approach

Observability, Governance & Development Lifecycle

• Design observability frameworks for AI systems including model monitoring, prompt evaluation, drift detection, and performance alerting

• Define AI governance standards covering responsible AI principles, audit trails, explainability requirements, and human-in-the-loop controls

• Establish development lifecycle practices for AI — from experimentation and model validation through to production deployment and ongoing operations

• Implement guardrail frameworks and safety controls for agentic and generative AI workloads to ensure appropriate oversight and auditability

• Champion MLOps and AI engineering best practices across the team, ensuring solutions are maintainable, observable, and continuously improvable

Thought Leadership & Practice Growth

• Serve as a senior technical voice both internally and with clients, sharing expertise, identifying emerging patterns, and helping define our AI point of view

• Mentor architects and engineers on platform engineering, governance, and AI architecture best practices

• Engage in pre-sales and solutioning activities, helping shape proposals and articulate our technical differentiation

This role can be performed from anywhere in the US.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• 8+ years of experience in enterprise architecture, with demonstrated expertise spanning AI/ML, cloud infrastructure, and systems integration

• Hands-on experience designing enterprise AI solutions on Azure, including Azure OpenAI, Azure Machine Learning, and supporting data services

• Strong grounding in platform engineering, infrastructure-as-code (e.g., Terraform, Bicep), and CI/CD pipeline design for AI workloads

• Experience building observability and monitoring solutions for AI/ML systems in production environments

• Proven ability to define and enforce AI governance, responsible AI, and compliance frameworks at enterprise scale

• Comfortable leading design conversations with both technical teams and client stakeholders

Preferred Technical And Professional Experience

• Familiarity with agentic AI architectures, orchestration frameworks (LangChain, Semantic Kernel, AutoGen), and RAG pipeline design

• Experience with Azure data platform services including Microsoft Fabric, Azure Synapse Analytics, and Azure Data Factory

• Knowledge of MLOps practices including model versioning, A/B testing, canary deployments, and feedback loop design

• Background contributing to a consulting practice or Center of Excellence — building frameworks, POVs, and reusable assets

• Azure certifications such as Azure Solutions Architect Expert, Azure AI Engineer Associate, or DevOps Engineer Expert

• **Candidates must be authorized to work in the United States without sponsorship now or in the future***

• **Individuals MUST be local to Chicago, as relocation assistance is not available***

seoClarity is seeking a technically curious and AI-driven Associate Product Manager, AI Platforms (Chicago-based) to join our growing Product team in our downtown Chicago office. We're looking for someone who enjoys solving complex technical challenges and is excited by the opportunity to help shape how enterprise organizations interact with AI assistants, large language models (LLMs), and emerging agent-based technologies.

In this role, you'll help build and evolve the APIs, MCP servers, and intelligent data experiences that connect enterprise search and marketing intelligence directly to AI-powered applications. You'll work alongside Product leadership to improve how AI systems retrieve, understand, and deliver real-time business insights.

If you're a technically curious builder who enjoys solving complex problems, experimenting with emerging technologies, and taking ownership in a fast-moving environment, this role offers exceptional exposure to AI product development, meaningful responsibility, and a clear path toward a long-term Product Management career!

Associate Product Manager, AI Platforms (Chicago-based) Perks & Benefits

• Competitive Compensation: hourly pay rate from $25 to $30 per hour, depending on experience.

• Duration: This role begins with an initial 3-month evaluation period and is intended to transition into a longer-term opportunity for the right individual.

• Robust Benefits Package: a well-rounded package designed to support your health, financial security, flexibility, and long-term growth, including major medical, dental, and vision coverage, company-sponsored life insurance, a 401(k) with company matching, commuter benefits, generous PTO, paid sick time, and company holidays.

• Perks That Support You: a continuous learning stipend, paid parental leave with extended work-from-home flexibility for new mothers, company-wide celebrations, and an annual global summit that brings teams together.

• Snack & Beverage Fuel: a fully stocked kitchen with snacks, drinks, and grab-and-go options to keep energy high and focus sharp throughout the day.

• In-Office, Hybrid Schedule by Design: our team comes together in our Downtown Chicago office Tuesday through Thursday for high-impact collaboration, with Mondays and Fridays reserved for focused remote work.

➡ Effortless commute options with valet parking on-site, quick access to the “L” at Chicago Station, a short walk to major Metra lines, direct CTA bus routes (37 and 66), and secure bike storage.

➡ A built-in dining scene just steps from your desk, including Starbucks, Hannah’s Bretzel, Sopraffina Marketcaffe, Rustle & Roux with an exclusive seoClarity discount, Amazon Go, etc.

➡ A large, fully equipped fitness center with locker rooms and showers, making before-work, lunch-hour, or after-work workouts easy and convenient.

➡ Comfortable lounge spaces, ideal for recharging between meetings or after intense deal cycles.

Associate Product Manager, AI Platforms (Chicago-based) Requirements

• Bachelor's degree in computer science, Software Engineering, Information Systems, Data Science, or another related technical discipline.

• 1+ years of professional, research, or project-based experience working with software products, APIs, data systems, AI applications, or technical product initiatives.

• Hands-on experience building, maintaining, or optimizing MCP servers and understanding how they interact with AI assistants, large language models (LLMs), APIs, and external data sources.

• Experience designing, building, integrating, or enhancing APIs, with a strong understanding of how data is exchanged, consumed, and optimized across systems.

• Working knowledge of Python, Java, and SQL to analyze databases, troubleshoot APIs, and understand our backend architecture.

• Ability to own technical projects independently, initiatives, or product enhancements from concept through implementation, rather than contributing solely within large group projects or academic team assignments.

• Demonstrated experience identifying technical challenges, proposing solutions, and executing improvements with limited direction or oversight.

• Strong analytical and problem-solving skills with the ability to evaluate complex workflows, system behavior, customer usage patterns, and technical performance issues.

• Strong written and verbal communication skills with the ability to document findings clearly, recommendations, requirements, and technical concepts.

• Demonstrated curiosity and enthusiasm for artificial intelligence, large language models (LLMs), agent frameworks, MCP protocols, automation, APIs, and emerging technologies.

• Comfortable operating within a fast-moving environment where priorities, technologies, responsibilities, and product requirements may evolve quickly.

Associate Product Manager, AI Platforms (Chicago-based) Responsibilities

• Support the continued development of our AI connectivity layer, MCP servers, conversational data experiences, and future AI initiatives.

• Translate technical capabilities into customer-facing value, write product requirements (PRDs), and collaborate with go-to-market teams.

• Assist in gathering, documenting, and prioritizing product requirements, user feedback, feature requests, and enhancement opportunities while partnering with Product leadership to shape product direction and roadmap initiatives.

• Develop a strong understanding of customer needs, business objectives, and market trends while building the skills necessary to grow into a Product Manager role over time.

• Analyze how customers interact with AI-powered products by reviewing usage patterns, prompts, responses, workflows, logs, and system behavior.

• Identify opportunities to improve product usability, performance, efficiency, scalability, and customer outcomes.

• Partner closely with Product leadership to investigate product challenges, define solutions, prioritize enhancements, and contribute to execution efforts.

• Help optimize how enterprise data is delivered, structured, and consumed across AI assistants, conversational interfaces, and intelligent workflows.

• Work with APIs, databases, and technical systems to understand product performance better, customer behavior, and product opportunities.

• Assist with testing, validation, product documentation, and release activities to ensure a high-quality user experience.

• Research emerging AI technologies, MCP protocols, agent frameworks, LLM capabilities, and evolving industry best practices.

• Contribute to a highly collaborative product environment where experimentation, innovation, and continuous improvement are encouraged.

• Take ownership of meaningful product initiatives while receiving mentorship, coaching, and exposure to product strategy, customer feedback, and technical decision-making.

• Support a rapidly evolving product ecosystem where adaptability, curiosity, and a willingness to learn are critical to success.

Associate Product Manager, AI Platforms (Chicago-based) Nice To Have

• Product Management, Technical Product Management, Product Ownership, or Product Strategy experience.

• Experience building AI-powered applications, conversational interfaces, chatbot experiences, AI agents, or Agentic workflows.

• Exposure to JavaScript, front-end technologies, or modern web application development.

• Experience working within a SaaS, AI, analytics, data platform, cloud, or enterprise software environment.

Benefits

About Us

seoClarity is the technology leader in Search Engine Optimization (SEO) marketing analytics, and our technology platform and services help the world’s best and biggest brands optimize their website content so they can be found online and connect to their customers.

Diversity, Equity, and Inclusion At seoClarity, we embrace and celebrate our differences. We believe that diverse backgrounds, cultures, abilities, experiences, thoughts, and perspectives lead to more creative problem-solving, better outcomes and a stronger organization. seoClarity is proud to be an equal opportunity employer. We believe all our colleagues share in this commitment to fostering an environment that supports, inspires, and respects all individuals. We seek to recruit, develop, and retain the most talented individuals from all social classes, who also share our beliefs.

At seoClarity, employment is based solely on an individual’s merit and qualifications related to their professional competence. We do not discriminate against any applicant or employee because of race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, mental or physical disability, age, genetic information, military or veteran status, marital status, pregnancy or related conditions, or any other basis protected by law or local ordinance.

Data Engineer- AI

Zero to AI Engineer