Company

Marsh McLennan Agency

Description

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.

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

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.

Marsh Risk is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Marsh Risk, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and career development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

📌 Senior Manager - Applications Development (Gurugram)
🏢 Marsh Mclennan
📍 Gurugram