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.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
