Senior Software Engineering Manager

Jones Lang LaSalle (JLL); Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Jones Lang LaSalle (JLL) Technologies in Bengaluru seeks a Senior Engineering Manager to lead a greenfield agentic AI platform. You will drive architecture, tooling, and safety for a team of 10–15 engineers building autonomous, multi-step workflows.

You will own technical direction, talent growth, and delivery at the intersection of LLMs, orchestration, and production infra, reporting to technology leadership.

Qualifications

• 12+ years of software engineering experience with 5+ years in engineering leadership.
• Direct experience building or operating LLM-powered systems (agents, RAG, tool-calling, orchestration).
• Proven track record implementing AI development lifecycle replacing PDLC/SDLC.
• Cloud: AWS Bedrock, Step Functions and related services.
• Strong Observability and evals experience for non-deterministic systems.
• Backend with Python and FastAPI; frontend knowledge (React, Tailwind) is a plus.
• Excellent communicator able to translate technical tradeoffs for stakeholders.

Responsibilities

• Lead and grow a team of AI & Forward Deployed Engineers building agent orchestration and tooling pipelines.
• Set technical strategy for agent architecture including planning loops, memory, tool-calling, and multi-agent coordination.
• Drive AIDLC implementation across the org and replace traditional PDLC/SDLC practices.
• Own Observability and Evals strategy with tracing, monitoring, and eval frameworks.
• Partner with product managers to translate ambiguous problems into shippable features.
• Ensure reliability and safety practices for autonomous systems and establish guardrails.
• Drive hiring, mentorship, and career growth; balance architecture reviews with people management.
• Communicate team velocity, system performance, and risk to leadership.
• Sketch engineering estimations and roadmaps.

Skills

Team leadership

LLM-powered systems

Python

FastAPI

System architecture

Observability

AWS Bedrock

Orchestration frameworks

Communication

Tools

LangGraph

AutoGen

Step Functions

Bedrock AgentCore

Job description

Job Summary

Senior Engineering Manager - Agentic AI & Enterprise Applications - JLL Technologies (Bangalore)

Senior Engineering Manager to lead a greenfield build of our agentic AI systems - autonomous, multi-step workflows where AI agents plan, use tools, and act with minimal human intervention. You'll own technical direction, team growth, and delivery for a group of 10-15 engineers working at the intersection of LLMs, orchestration, and production infrastructure, building this platform from the ground up.

Responsibilities

• Lead and grow a team of AI & Forward Deployed Engineers building agent orchestration, tool-use frameworks, and evaluation pipelines from zero
• Set technical strategy for agent architecture: planning loops, memory, tool calling, multi-agent coordination, and guardrails
• Drive the implementation of an AIDLC (AI-Driven Development Lifecycle) approach, replacing traditional PDLC/SDLC practices across the org
• Own the Observability and Evals strategy for agentic systems - tracing, monitoring, and eval frameworks for non-deterministic, multi-step workflows
• Partner with product managers to translate ambiguous problems into shippable agentic features
• Own reliability and safety practices for autonomous systems (evals, sandboxing, human-in-the-loop checkpoints, rollback strategies)
• Drive hiring, mentorship, and career growth for your team
• Balance hands-on technical involvement (architecture reviews, code reviews) with people management
• Report on team velocity, system performance, and risk to leadership
• Sketch out engineering estimations

What We're Looking For

• 12+ years in software engineering, with 5+ years managing engineering teams
• Direct experience building or operating LLM-powered systems (agents, RAG, tool-calling, orchestration frameworks like LangGraph, AutoGen, or custom stacks)
• Proven track record of delivering an AIDLC implementation that successfully replaced PDLC/SDLC within an engineering organisation
• Cloud: AWS - excellent knowledge with Bedrock AgentCore, Step Functions (ASL), and related agent-hosting/orchestration services
• Strong knowledge of Harness engineering
• Strong experience with Observability and Evals for non-deterministic systems (tracing, eval harnesses, monitoring, drift/regression detection)
• Backend services: experience with Python and FastAPI
• Frontend: working knowledge of React, Tailwind, and Solstice (JLL design system)
• Track record of shipping ambiguous, fast-moving products under real constraints
• Excellent communicator who can translate technical tradeoffs for non-technical stakeholders

Nice to Have

• Experience in delivering autonomous agent safety/guardrail design

Location: Bengaluru, Karnataka

Scheduled Weekly Hours: 40