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Technology Project Manager
Jones Lang LaSalle Americas, Inc.. Own the product vision and technical roadmap across Navigator and Lease Admin Agents, ensuring both are built to deliver the outcomes committed in the approved business cases .
Tech Stack
Tools & technologiesAWSMicroservicesPython
About the role
Key responsibilities & impact- Own the product vision and technical roadmap across Navigator and Lease Admin Agents, ensuring both are built to deliver the outcomes committed in the approved business cases
- Define and validate AI agent behaviours, tool-calling patterns, guardrails and output evaluation frameworks for production deployment
- Lead platform selection and architecture decisions, including the current AWS evaluation, assessing vendor capabilities, total cost of ownership and enterprise readiness
- Drive build-vs-buy recommendations across the AI and automation technology stack, synthesising technical capabilities and business fit for senior stakeholder decisions
- Own and manage the product backlog, ensuring stories are technically well-defined, prioritised and sprint-ready at all times
- Design and oversee hybrid AI architectures combining agentic orchestration, Python microservices, RAG pipelines and low-code platforms
- Contribute to and lead Critical Design Reviews (CDR), acting as product advocate to balance user needs with technical constraints, security requirements and architectural standards
- Establish governance frameworks for AI and agentic solution deployment, ensuring ethical use, security compliance and sustainable scaling aligned with enterprise risk management
- Own AI Terms Addendum obligations under vendor contracts, including oversight of third-party AI tool usage, output validation and data governance compliance
- Maintain technical documentation, architecture decisions and product specifications in Confluence
- Act as the primary technical interface between JLL business stakeholders, JBS, JLLT and external engineering partners
- Translate deep dive OPEX workshop outputs and SME sessions into technically executable product specifications
- Work with the Programme Manager to ensure delivery milestones, resource dependencies and risks are tracked and escalated appropriately
- Leverage NPS data via Pendo and user testing via Optimal Workshop to translate findings into product iteration priorities
- Define go-to-market and adoption strategy for AI capabilities across Portfolio Services, positioning products for internal and client-facing launch
- Support enablement curriculum and certification pathways for citizen developer and AI champion communities
- Champion responsible AI adoption, ensuring teams understand how to use AI tools effectively and safely within enterprise policy.
Requirements
What you’ll need- 7+ years of experience in a Technical Product Manager, Product Owner or Solution Architect role, with at least 3 years focused on AI or automation platforms
- Hands-on experience designing and deploying agentic AI systems, including agent orchestration, tool-calling patterns, prompt engineering and RAG design
- Strong Python proficiency and experience building or overseeing REST API-based service architectures
- Demonstrated experience evaluating enterprise AI platforms — including LLMs such as Claude, Gemini and OpenAI — and presenting platform recommendations to senior stakeholders
- Experience managing hybrid architectures combining low-code platforms (Microsoft Power Platform, Copilot Studio) with custom Python microservices
- Proven ability to own and manage product backlogs for complex, multi-workstream AI programmes
- Strong communication skills — able to operate credibly from engineering standup to C-suite presentation.
Benefits
Comp & perks- Health insurance
- Paid time off
- Flexible work arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI agent behaviourstool-calling patternsPythonmicroservicesRAG designREST APIlow-code platformsagent orchestrationproduct backlog managemententerprise AI platforms
Soft Skills
communication skillsstakeholder managementtechnical advocacygovernance frameworksethical AI adoptionproduct iteration prioritizationcross-functional collaborationrisk managementuser needs balancingpresentation skills