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.
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
