Location : Pan India

Exp : 5-7

Role: Technical Lead

Job Summary

Design, develop, and deploy production-grade Multi-Agent Systems (MAS) and agentic workflows using Gemini Enterprise
Identify need for Pro Code Vs No Code design based on customers problem statement and data sources
Design Deploy and custom 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.

LONGDESCRIPTION section. 2 of 6.Section Title: Key Responsibilities

Key Responsibilities

Design, develop, and deploy production-grade Multi-Agent Systems (MAS) and agentic workflows using Gemini Enterprise
Identify need for Pro Code Vs No Code design based on customers problem statement and data sources
Design Deploy and custom 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.

Skill Requirements

Must-Have Skills
Core Engineering & Frameworks: Strong proficiency in Python with production-level software engineering practices, along with deep, hands-on experience building multi-agent systems using Google ADK (Agent Development Kit) or comparable agentic frameworks.
Memory & State Architecture: Demonstrated expertise in managing agent session state, short-term context caching, and durable long-term memory backends (vector databases, relational/NoSQL session stores).
Auth & Security: 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 (Microsoft Entra ID, Salesforce, Atlassian).
Developer Tooling:



Proficiency in developer tooling such as Agent CLI and Antigravity for local simulation, debugging, prompt engineering, and execution graph tracing.
CI/CD & DevOps: Proven track record of configuring and maintaining automated CI/CD pipelines (Cloud Build, GitHub Actions) for agent containerization, deployment, and test automation.
Evaluation & Debugging: Practical knowledge of AI evaluation methodologies, trajectory analysis, and performing root cause analysis (RCA) on agent execution failures, tool errors, and prompt regressions.
Client Collaboration: Strong technical communication, consulting acumen, and client-facing collaboration skills within an Agile setting.

Good-to-Have Skills
Experience with inter-agent communication protocols such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) architectures.
Experience integrating agents with Enterprise Knowledge Graphs, structured ontologies, and hybrid vector search systems.
Experience with enterprise data security frameworks such as Sensitive Data Protection (SDP/DLP) and VPC Service Controls (VPC-SC).
Qualifications and Prior Experience
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.

Must Have Skills

- iGoogle Gemini
- IAgentic AI
- Python
- CI/CD
- Google Cloud Platform (GCP)

Good to have Skills

- Click Enter to show the proficiency description of Model Context Protocol (MCP)Model Context Protocol (MCP)

Other Requirements

Certifications and Trainings
Professional Machine Learning Engineer
Google Skill Boost labs/course

Kindly drop your resume @[email protected] along Mandatory details given below

Name:

Contact No:

Mail id:

Exp:

Current CTC:

Expected CTC:

Notice Period:

Preferred Location:

📌 Technical Lead (Hyderabad)
🏢 HCLTech
📍 Hyderabad