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Salary
≈ $32k – $85k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 12+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 15, 2026. Jones Lang LaSalle scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Jones Lang LaSalle, which trades as JLL, is a commercial real estate services and investment management firm whose oldest predecessor was founded in London in 1783. It advises occupiers and owners on leasing, capital markets transactions, valuation, workplace strategy and project delivery, and manages billions of square feet of property and facilities on their behalf. Headquartered in Chicago and listed on the New York Stock Exchange, it operates in more than eighty countries and runs LaSalle Investment Management as its real estate investment arm.

JLL empowers you to shape a brighter way.

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.

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

About the Role

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.

What You'll Do

  • 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:

On-site -Bengaluru, KA

Scheduled Weekly Hours:

40

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table!

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at [email protected]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

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