A hybrid role spanning product management, product design and hands-on implementation to help customers identify and solve problems using agentic GenAI solutions.
Compensation
CHI - $110,000 - $140,000
Responsibilities
Partner with customer and business leaders to uncover high-impact use cases where GenAI can deliver measurable value.
Through customer research, problem discovery and systems thinking, translate vague operational challenges into clear, functional solutions
Build rapid prototypes / proof-of-concepts to validate ideas and drive alignment
Design and implement agent-based solutions — from workflow automation to patient communication, insight generation, or clinical operations
Work directly with LLMs and agent frameworks (prompt design, chaining, context management, evaluation, and guardrails)
Lead AI transformation initiatives across Mastercard business units, designing and deploying production-ready AI solutions and building internal capability.
Lead AI Engineer responsible for designing, building, and deploying AI solutions in risk and insurance domain.
Locations (2)
New York, New York, United States
London, England, United Kingdom
Compensation
The base salary compensation range being offered for this role is $100,000– $350,000 USD per year. This role is also eligible for an annual short-term incentive bonus.
Responsibilities
Design and build agentic analytics and AI-enabled products using large language models, RAG, MCP and modern agent frameworks
Own the quality bar for AI in production, including evaluation, testing, guardrails, observability, security and cost management
Direct AI coding assistants and agentic workflows alongside hands‑on expertise
Lead by example, mentor colleagues informally and share knowledge
Track new models, tools and techniques and bring credible ones into roadmap
Requirements
T
Founding Product Engineer
True Talent Solutions Partners · Posted Nov 9, 2026
Join the applied AI team at a fintech company building agent-powered tools for financial advisors. You will own the agent platform, creating reliable systems that help advisors and clients handle complex tasks and collaborate effectively.
Compensation
Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.
Responsibilities
Build a general-purpose agent that plans and completes multi-step tasks using code execution, web search, and retrieval.
Develop ambient agents to triage email, process meetings, draft communications, and surface timely follow-up.
Design the agent harness that coordinates language models, context, tools, retrieval, and business logic.
Create generative interfaces and human-in-the-loop workflows that support collaboration between advisors and agents.
Build evaluation infrastructure for both factual financial tasks and judgment-intensive work.
Requirements
Computer science degree
Nice to have: generative UI
Nice to have: human-in-the-loop interface experience
Principal Forward Deployed Engineer bridging hands-on agent engineering with high-impact customer technical strategy to architect, build, and deploy custom AI agents and agentic apps for enterprise.
Compensation
Primary Location Base Pay Range: $206,400 USD - $309,600 USD Additional US Location(s) Base Pay Range: $173,300 USD - $309,600 USD
Responsibilities
Architect, build, deploy, and debug custom AI agents and agentic apps to solve complex enterprise problems.
Lead technical discovery sessions with senior leaders at customer organizations to translate business requirements into enterprise-grade product builds.
Partner directly with product and engineering teams to provide feedback that improves the developer toolkit.
Identify best practices and patterns to turn custom fixes into standardized, automated, out-of-the-box product capabilities.
Collaborate with FDEs across AI product areas to deliver complete agentic systems.
Build production-ready generative and agentic AI solutions that improve customer experiences
Responsibilities
Build and evaluate generative AI solutions, including retrieval-augmented generation, conversational assistants and colleague drafting tools
Design agentic workflows that plan, use approved tools and complete multi-step tasks with appropriate permissions and human oversight
Engineer prompts, system instructions and retrieval pipelines to improve grounding and response quality
Create evaluation harnesses and golden datasets covering groundedness, accuracy, task completion, latency and cost
Select and tune models for different use cases, balancing quality, cost, latency and data-residency requirements
Requirements
A tertiary qualification in data science, statistics, computer science, engineering or another quantitative discipline, or equivalent demonstrated experience
Lead the design, development, and deployment of full stack AI applications using React, Node.js, and AWS, integrating AI/ML solutions and managing LLMOps workflows.
Responsibilities
Lead the design, development, and deployment of full stack AI applications using React, Node.js, and AWS.
Integrate AI/ML solutions, including LLMs, embeddings, and agent frameworks, into production applications.
Collaborate with cross-functional teams to define project scope, design patterns, and technical strategy.
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