AI Architect || Contract Job || 10-15 Years Experience

About Client:

Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.

Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.

Job Title : AI Architect

Experience Level : 10-15 Years AI Architect

Job Location : Pan india

Budget : 200,000 Per Month

Job Type : Contract

Work Mode : Hybrid

Notice Period : Immediate Joiners

Require applicants to attach a resume

Client : CMMI Level 5

Job Description:

AI Architect:

Key Responsibilities

Architect and design agentic AI systems tailored for software testing phases including test planning, generation, execution, defect triaging, and reporting.

Lead the development of autonomous agents capable of reasoning, learning, and collaborating across the test life cycle.

Build and optimize AI pipelines using Google Cloud services (Vertex AI, BigQuery, Cloud Functions, etc.).

Integrate agents with CI/CD pipelines, test management tools, and developer environments.

Ensure seamless deployment and orchestration on AgentSpace, leveraging its capabilities for agent lifecycle management, communication, and scalability.

Collaborate with cross-functional teams including QA, DevOps, and product engineering to align AI capabilities with business goals.

Define and enforce best practices for agentic AI, including safety, interpretability, and performance monitoring.

Stay ahead of emerging trends in LLMs, multi-agent systems, and autonomous software engineering.

Required Qualifications

Proven experience as an AI Architect, ML Engineer, or similar role with a focus on agentic or autonomous systems.

Strong expertise in Google Cloud Platform and its AI/ML ecosystem.

5+ years of experience in building AI/ML solutions, with at least 1+ year focused on generative AI.

Hands-on experience with LLMs, reinforcement learning, and multi-agent frameworks.

Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch, LangChain).

Familiarity with software testing tools

Require applicants to attach a resume

(e.g., Selenium, TestNG, JUnit) and lifecycle processes.

Experience deploying and managing agents on AgentSpace or similar platforms.

Excellent problem-solving, communication, and leadership skills