Google ADK Lead

Cognizant; Irving (TX); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Google ADK Lead in Texas to architect multi-agent AI solutions using Google ADK and Vertex AI, and to design agent workflows with MCP and A2A protocols.

You will lead a team of AI engineers, drive CI/CD, observability, and cloud deployment, and ensure on-time delivery within budget while maintaining engineering standards.

Qualifications

• 8–12 years in software engineering with AI/ML focus.
• Hands-on with Google ADK, Vertex AI, LangChain, LangGraph, CrewAI or AutoGen.
• Strong Python programming experience.
• Experience with Google Cloud: Cloud Run, Kubernetes, Agent Runtime, GenAI.
• Knowledge of agent orchestration, prompt engineering, evaluation frameworks, and LLM operations.
• Leadership and stakeholder management skills.

Responsibilities

• Architect and develop multi-agent AI solutions using Google ADK and Vertex AI.
• Design hierarchical agent workflows using MCP and A2A protocols.
• Define integration approaches with APIs, databases, and knowledge repos.
• Conduct architecture reviews and ensure engineering standards.
• Lead deployment, testing, monitoring, and observability frameworks.
• Drive CI/CD, automated testing, and cloud-native deployment models.
• Build reusable agent components and orchestration accelerators.
• Improve agent performance, reliability, and scalability.
• Manage AI engineers and provide technical mentoring.
• Translate business requirements into technical plans and govern projects.
• Ensure successful delivery within scope, time, and budget.

Skills

Python programming

AI/ML solutions

Leadership

Tools

Google ADK

Vertex AI

LangChain

LangGraph

CrewAI

AutoGen

Cloud Run

Kubernetes

GenAI services

Job description

Google ADK Lead

Key Responsibilities / Skills:

Solution Architecture & Design

• Architect and develop multi-agent AI solutions using Google ADK and Vertex AI.
• Design hierarchical and collaborative agent workflows using MCP and A2A protocols.
• Define integration approaches with enterprise systems, APIs, databases, and knowledge repositories.
• Conduct architecture reviews and ensure adherence to established engineering standards.

Development & Platform Engineering

• Lead development of agent deployment, testing, debugging, monitoring, and observability frameworks.
• Drive implementation of CI/CD pipelines, automated testing, and cloud-native deployment models.
• Build reusable agent components, orchestration frameworks, and accelerators.
• Optimize agent performance, reliability, and scalability.

Team Leadership

• Manage a team of AI engineers and technical specialists.
• Conduct code reviews, technical mentoring, and design workshops.
• Translate business requirements into technical implementation plans.
• Facilitate stakeholder discussions and project governance activities.

Delivery & Operations

• Ensure successful delivery of AI agent solutions within quality, schedule, and budget objectives.
• Establish monitoring, evaluation, and operational support processes.
• Drive continuous improvement through metrics, feedback loops, and lessons learned.

Qualifications

• 8-12 years of software engineering experience with strong expertise in AI/ML solutions.
• Hands-on experience with Google ADK, Vertex AI, LangChain, LangGraph, CrewAI, or AutoGen.
• Strong programming expertise in Python.
• Experience with Google Cloud services including Cloud Run, Kubernetes, Agent Runtime, and GenAI services.
• Knowledge of agent orchestration, prompt engineering, evaluation frameworks, and LLM operations.
• Experience implementing observability, human-in-the-loop controls, and durable state management.
• Strong leadership and stakeholder management skills.

Salary and Other Compensation:

Applications will be accepted until 11/13/2026.

The annual salary for this position is between $ 100,000– $ 130,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.