Job Overview
We are seeking an experienced Senior Solution Architect to join our GenAI and DevOps practice. The ideal candidate combines strong cloud infrastructure expertise (with a primary focus on Google Cloud Platform, alongside AWS and Azure) with hands-on experience building and deploying GenAI solutions — including Gemini Enterprise, Vertex AI, and agent-based architectures. The candidate should be equally comfortable designing Kubernetes-based infrastructure and CI/CD pipelines as they are architecting AI agent workflows, RAG pipelines, and LLM-powered applications for enterprise clients.
Key Responsibilities
Cloud & DevOps
- Lead cloud migration projects from on-premises or other cloud platforms to GCP (primary), AWS, or Azure.
- Design and implement migration strategies ensuring minimal downtime and maximum efficiency.
- Design, implement, and optimize CI/CD pipelines to streamline software delivery.
- Use Terraform for infrastructure as code (IaC) to automate deployment processes.
- Architect and optimize Kubernetes (GKE) clusters for high availability and scalability.
- Design scalable database architectures and execute migrations with a focus on data consistency, integrity, and performance.
AI / GenAI
- Architect and deploy GenAI solutions on GCP, including Gemini Enterprise rollouts, Vertex AI Search, and Vertex AI Agent Builder (ADK) implementations.
- Design and build AI agents and multi-agent systems, including integrations via MCP (Model Context Protocol) with enterprise systems (CRM, ERP, ticketing, document stores).
- Build RAG (Retrieval-Augmented Generation) pipelines and conversational analytics solutions on enterprise data (e.g., BigQuery Conversational Analytics).
- Evaluate and architect migrations from other LLM providers (e.g., OpenAI) to Vertex AI/Gemini, including TCO analysis.
- Work with speech and multimodal AI pipelines (STT, TTS, multilingual/multimodal agents) where relevant to client use cases.
Client & Leadership
- Work closely with clients to assess architectures, define scope, and produce technical SOWs/proposals across both DevOps and AI engagements.
- Provide technical leadership and mentorship to junior team members.
- Stay current with GCP's evolving AI/ML and infrastructure tooling and bring emerging capabilities into client solutions.
Required Skills and Qualifications
- Bachelor's degree in Computer Science, Information Technology, or related field.
- 7+ years of relevant industry experience, including experience in a Solution Architect role.
- Strong hands-on experience with GCP (required); working knowledge of AWS and Azure.
- Expertise in DevOps practices: CI/CD pipelines, Terraform/IaC, Kubernetes/GKE.
- Practical experience with GenAI on GCP: Vertex AI, Gemini models, Agent Builder/ADK, or comparable platforms.
- Experience integrating AI agents with enterprise systems (APIs, MCP, or similar integration patterns).
- Sound knowledge of database migrations and data pipeline design.
- Excellent communication skills, with the ability to articulate complex technical and AI concepts to both technical and non-technical stakeholders.