IJP_Senior Manager - Applications Development
AI in this role
Lead the design and development of production-grade, multi-agent AI applications and LLM orchestration systems in Python.
Company:
Marsh McLennan AgencyDescription:
We are seeking a talented individual to join our MMA team at Marsh. This role will be based in Pune/Mumbai/Gurgaon. This is a hybrid role that has a requirement of working at least three days a week in the office.
As an AI Specialist, you will design, build, and scale AI-enabled applications that drive business value and enhance client experience.
Last Date to Apply: 29th September
You will lead the development of agentic AI solutions, establish engineering standards, and mentor teams in modern AI development practices. You will also help strengthen delivery discipline across architecture, engineering, governance, and the software development lifecycle.
We will count on you to:
- Lead US/Canada payroll Projects and ability to work on multiple assignments.
- Designing and delivering AI-enabled applications and agentic systems in production
- Building multi-agent architectures, including planner, executor, reviewer, critic, and supervisor patterns
- Developing tool-calling, function-calling, and memory-enabled agents
- Using LangChain, LangGraph, and similar frameworks for orchestration and workflow design
- Applying DSPy, prompt engineering, and optimization techniques to improve quality and repeatability
- Building production-grade AI services in Python
- Integrating with leading LLM platforms such as Anthropic, OpenAI, and open-source models
- Designing RAG solutions using vector databases such as Pinecone, FAISS, Milvus, or Weaviate
- Integrating AI systems with enterprise platforms through APIs, workflows, events, and data services
- Implementing observability, evaluation, and optimization for AI systems, including tracing, decision logging, and performance monitoring
- Working within governance, security, privacy, and compliance frameworks, ideally in regulated industries
- Leading complex technical delivery while collaborating effectively across engineering, product, business, risk, and compliance teams
What you need to have:
- Bachelor's degree in Computer Science or Masters in Data Science, related field, or equivalent experience
- Overall 10+ years of technology experience, including delivery of scalable, resilient digital products
Agentic architecture and platform design
- Design and implement modern multi-agent AI architecture
- Build planner, executor, reviewer/critic, and supervisor agent patterns
- Develop tool-calling, function-calling, and memory-enabled agents
- Use LangChain and LangGraph for orchestration, workflow control, and agent coordination
- Apply DSPy and prompt optimization techniques for performance, consistency, and regression control
- Define reusable agent contracts, interfaces, and schemas
- Design hierarchical, collaborative, and event-driven agent workflows
AI engineering and delivery
- Lead delivery across the full software development lifecycle, including an Agentic SDLC
- Create agent behavior specifications, prompt and policy versioning, and offline evaluation frameworks
- Implement automated testing for agent workflows and guardrails
- Support controlled rollout, telemetry-driven improvement, and continuous optimization
- Build production-grade AI services primarily in Python
- Integrate LLMs, vector databases, APIs, workflow engines, and enterprise data platforms
- Implement CI/CD for agent code, prompts, and policies
Observability and optimization
- Implement tracing, decision logging, tool monitoring, and failure analysis
- Apply evaluation methods for hallucination detection, consistency, and fitness scoring
- Design human-in-the-loop feedback mechanisms
- Monitor and optimize cost, latency, throughput, and behavioral drift
Governance, risk, and compliance
- Design AI solutions aligned with financial services and enterprise governance expectations
- Ensure auditability, explainability, privacy, security, and resilience
- Embed guardrails to reduce hallucination risk, bias, unauthorized actions, and escalation failures
- Produce documentation to support compliance, internal audit, and regulatory review
- Minimum 12 months experience as Manager/Senior Manager
- Should have at least “On track” or above in last appraisal
- Should not be under any Performance Continuity Plan, or had any official Disciplinary action within the last 3 months
- Should not have applied for any other IJP within Marsh McLennan in the last 3 month
What makes you stand out:
- Excellent verbal and written communication skills, comfortable interfacing with business users
- Good troubleshooting and technical skills
- Able to work independently
Why join our team:
- We help you be your best through professional development opportunities, interesting work and supportive leaders.
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
- Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
How we rate this
IJP_Senior Manager - Applications Development at Marsh McLennan rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a project where agentic architecture was part of your work. What did you do?
- Tell me about a project where mlops was part of your work. What did you do?
- Tell me about a project where api integration was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, RAG, Agentic Architecture, Mlops, and API Integration. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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