What are the responsibilities and job description for the AI/ML Enterprise Architect position at Synkriya Tech (previously Sincera Consulting)?
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.2 years of experience in building AI/ML solutions, with at least 1 year focused on generative / Agentic AI.
- 3 years experience developing or working with CRM and BPM solutions
- Familiarity with software testing tools (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
Key Responsibilities:
- Architect and design agentic AI systems tailored for CRM and BPM solutions including requirements to backlog, backlog to build and build to deploy phases of the SDLC
- 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.