Sr AI Manager

Honeywell is embarking on a significant organizational transformation undergoing a pivotal shift towardsValue by and with AImoving beyond simple chatbots toautonomous systemsthat reason use tools and execute end-to-end business workflows. We are standing up a dedicatedDigital Automation Hubfor GBS Finance in Bengaluru.

TheAI Technical Program Manager (TPM)is a high-impact leadership role reporting to theHead of Digital Automation at GBS Finance. You will act as the primary bridge between Transformation AI Research Engineering and Business Stakeholders. You are not just a coordinator; you are atechnical supervisor of the AI Automation programs ensuring that traditional AI and agentic AI workflows are designed forscalability safety and measurable ROI. You will own theManagement Operating System (MOS)for our AI initiatives translating complex model behaviours into transparent predictable project milestones and managing stakeholder collaboration acrossGBS Finance (R2R P2P Commercial ISC FP&A and Corporate Finance).

Key Responsibilities

• Technical Governance:Establish theMOSfor AI escalationsmodel performance drift and high-impact system failures; provide proactive status reporting to leadership.
• SLA & KPI Ownership:Define and track uniqueAI (Model Drift Accuracy AUC-ROC Precision-Recall) and Agentic AI metrics(e.g. Cost-per-TokenAgent Success Rate Latency and Accuracy) and coordinate gap-closure actions with data science teams.
• Stakeholder Synthesis:Act as the primary technical contact for Digital Automation catering to GBS Finance teams and rest of Honeywell Finance.
• Architectural Orchestration:Partner with engineering to designTraditional AI and Agentic system architectures includingmulti-agent hand-offs memory management and tool-use protocols.
• Continuous Improvement:Leverage analytics to identify process bottlenecks and drivearchitectural improvementsin the AI inference pipeline.
• Document Control:Maintain rigorous documentation forAI programs model lineages evaluation frameworks and compliance standards.

You Must Have

• Experience:15 yearsof total experience in tech with at least5-7 years leading complex AI/ML programsin a Global Capability Centre (GCC) or high-growth product environment.
• The Hybrid Mindset:A rare mix ofsenior program leadershipand the ability todouble-clickinto technical system design.
• Education:Bachelors degree in Computer Science Data Science or a related technical field (Masters/MBA preferred).
• Technical Design Proficiency:Ability to leadSystem Designdiscussions and evaluate the trade-offs between different AI orchestration layers.
• ERP Ecosystem Literacy:Familiarity with high-scaleERP environments (SAP Oracle)and how AI agents interface with legacy financial databases throughAPIs or RPA bridges.
• Deep AI Domain Expertise:Solid understanding ofLLM lifecyclesAgentic frameworks(e.g. LangGraph CrewAI or AutoGen) andvector databases.

We Value

• Fiduciary Mindset:A background that respects thezero-error requirementof finance balancing experimental AI with the rigor of global accounting standards.
• Influential Relationship Building:Ability to lead and collaborate across cross-functional pods (Data DevOps and Product).
• Strategic Problem Solver:Develops creative compliant and balanced solutions forprobabilistic AI outcomes.
• Hands-on Pragmatism:An action-oriented leader who can navigate the ambiguity of emerging AI technologies without losing sight ofdelivery timelines.