Role: AI Solution Architect
Educational Qualification* Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or equivalent. –
Experience Range 8–12 years of experience in solution architecture, cloud engineering, or enterprise integration with strong hands on AI delivery exposure.
Primary (Must have skills)* - To be Screened by TA Team 3–5 years: Hands on experience designing ingestion connectors, action connectors, schema mapping, field level policies, normalization, and validation frameworks.
Experience with Vertex AI, Cloud Run, Cloud Functions, IAM, Secret Manager, API Gateway, Terraform, Cloud Build CI/CD.
Experience integrating multi agent pipelines, context models, session identifiers, OBO flows, and service to agent interactions.
Hands on experience implementing retrieval, embeddings, hybrid search, validation rules, error handling, idempotency, and testing frameworks.
5+ years: Building secure, resilient, production grade microservices with structured logging, retries, backoff, correlation IDs.
Job Description of Role* (RNR) - To be Evaluated by Technical Panel (Define it to give more clarity) Job Description (Role / R&R)
As an AI Solution Architect, you will define and deliver the technical blueprint for AI connectors, agent workflows, and integration patterns needed to operationalize Gemini Enterprise (Agentspace) solutions. You will work closely with architects, developers, and enterprise stakeholders to ensure technical clarity and high quality implementation.
Key Responsibilities
Lead design workshops with client teams to define connector schemas, mapping matrices, and action specifications.
Architect and document High Level Designs (HLDs), low level specifications, error taxonomies, authentication/authorization flows, and NFRs.
Develop patterns for OBO/OAuth2 integration, identity propagation, and secure service communication.
Provide end to end design guidance for microservices, ingestion pipelines, grounding workflows, and action connectors.
Support developers during build cycles and ensure adherence to design specifications.
Troubleshoot integration issues, optimize API performance, and validate data/semantic grounding quality.
Support testing: unit tests, integration validation, UAT sign off, and production rollout.
Prepare deployment guides, runbooks, configuration documents, and post deployment knowledge transfers.
Soft skills/other skills - To be Evaluated by Hiring Manager (To define how this will be evaluated) Communication Skills:
Communicate effectively with internal and customer stakeholders
Communication approach: verbal, emails and instant messages
Interpersonal Skills:
Strong interpersonal skills to build and maintain productive relationships with team members & customer representatives
Provide constructive feedback during code reviews and be open to receiving feedback on your own code.
Problem-Solving and Analytical Thinking:
Capability to troubleshoot and resolve issues efficiently.
Analytical mindset
Ability to bring idea into reality throught technology implementation & adoption
Task/ Work Updates
Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
Provides regular updates, proactive and due diligent to carry out responsibilities
Soft Skills / Leadership Traits
Strong client facing communication and clarity in explaining technical decisions.
Ability to lead design walkthroughs and drive alignment across teams.
Detail oriented, structured, and dependable execution style.
Collaborative, solution oriented, flexible under changing requirements.
Expected Outcome Production ready ingestion and action connectors delivered with expected SLAs.
Fully documented architecture, mapping matrices, integration patterns, and CI/CD assets.
Seamless end to end integration with Gemini Agentspace and downstream systems.
Stable, secure, and performant AI agent workflows.
Secondary Skills to be planned Post Hiring - Training Plan Knowledge of MCP’s and A2A SDK
* Version Control: Proficiency with version control tools like Git.
* Agile Methodologies: Experience working in Agile development environments.
Job Type: Full-time
Pay: $90,000.00 - $180,000.00 per year
Experience:
AI Solution Architect: 10 years (Preferred)
Work Location: In person
