Technical Lead

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering

In short

We are looking for a Technical Lead to design, develop, and deploy production-grade Multi-Agent Systems (MAS) using Gemini Enterprise and Google ADK. This role involves building and maintaining CI/CD pipelines, managing agent state, and collaborating with clients in an Agile environment.

Responsibilities

Design, develop, and deploy production-grade Multi-Agent Systems (MAS) and agentic workflows using Gemini Enterprise.
Identify the need for Pro Code Vs No Code design based on customer’s problem statement and data sources.
Design, deploy, and customize agents using the Agent Development Kit (ADK), and Agent Platform AI Reasoning Engine, and integrate with Gemini Enterprise.
Build and maintain automated CI/CD pipelines (e.g., Cloud Build, GitHub Actions, GitLab CI) to manage versioned agent deployments, automated testing, and continuous regression evaluations.

Requirements

Strong proficiency in Python with production-level software engineering practices.
Deep, hands-on experience building multi-agent systems using Google ADK or comparable agentic frameworks.
Demonstrated expertise in managing agent session state, short-term context caching, and durable long-term memory backends (vector databases, relational/NoSQL session stores).
Strong understanding of authentication and authorization protocols (IAM, OAuth 2.0, OIDC, Service Accounts, Workload Identity Federation) across Google Cloud and 3rd-party SaaS platforms.
Proficiency in developer tooling such as Agent CLI and Antigravity for local simulation, debugging, prompt engineering, and execution graph tracing.
Proven track record of configuring and maintaining automated CI/CD pipelines (Cloud Build, GitHub Actions) for agent containerization, deployment, and test automation.
Practical knowledge of AI evaluation methodologies, trajectory analysis, and performing root cause analysis (RCA) on agent execution failures, tool errors, and prompt regressions.
Strong technical communication, consulting acumen, and client-facing collaboration skills within an Agile environment.

Desired Qualifications

Experience in software development, cloud solution architecture, and AI engineering (preferably on Google Cloud Platform).
Proven track record of designing, building, and deploying production AI agents or enterprise GenAI solutions using ADK, Vertex AI, or Gemini.
Hands-on experience in customer-facing technical delivery, solutions engineering, or forward-deployed engineering (FDE) roles.
Familiarity with enterprise Agile development lifecycles, sprint delivery, and stakeholder management.

Benefits

Supercharge your potential at HCLTech.
Find your career and spark at a company that puts people first.
Work at a global technology company with over 223,000 people across 60 countries.
Deliver industry-leading capabilities centered around digital, engineering, cloud and AI.

Skills

PythonGoogle ADKIAMOAuth 2.0OIDCService AccountsWorkload Identity FederationAgent CLIAntigravityPrompt EngineeringCloud BuildGitHub ActionsGitLab CIContainerizationAI EvaluationRoot Cause AnalysisAgileMCPA2AEnterprise Knowledge GraphsVPC Service ControlsGenAIVertex AIGemini

#Technical Lead#AI#Machine Learning#Software Engineering#DevOps#Cloud#Google Cloud Platform

About HCLTech

Supercharging progress through technology and innovation

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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