AI Solution Architect

• Define and own the end-to-end solution blueprint for the AI platform across all modules.
• Establish transformation guidelines, operating model standards, implementation approach, specific data and information needs for the platform.
• Lead solution reviews, drive trade-off decisions, and ensure alignment across module leads.
• Partner with the Principal Architect and Engineering Manager to translate product requirements into scalable solution strategy for clients.
• Provide feedback based on client implementations back to the platform and product teams.
• Oversee integration and implementation architecture between Client teams and Platform teams cutting across Context Graph, Event Orchestrator, Connectors, and Agent Development subsystems.
• Provide Solution and stakeholder mentorship to solution teams and product teams.
• Provide feedback on observability, security, and compliance standards for an AI-native SDLC platform.
• Engage with executive stakeholders to communicate roadmap direction and roadmap risks.
• Drive proof-of-concepts for emerging AI/ML capabilities and evaluate their production readiness.

• 15+ years of software engineering experience with at least 5 years in solution architect or transformational leader roles.
• Deep expertise in solutioning, designing, and transforming large-scale distributed systems, microservices, and event-driven architectures.
• Hands-on experience with LLM-based systems, RAG pipelines, knowledge graphs, or AI agent frameworks.
• Proficiency with cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes).
• Experience with graph databases (Neo4j, Amazon Neptune) and vector stores (Pinecone, Weaviate).
• Strong background in digital and technology transformation of large enterprise clients.
• Proven ability to lead solution architecture across multiple concurrent client engineering teams.
• Excellent written and verbal communication skills for both technical and executive audiences.
• Experience in Healthcare, Retail, or enterprise SaaS platform solution engineering is a strong plus.
• Familiarity with SDLC automation, Quality Engineering lifecycle, DevOps pipelines, and CI/CD best practices.

Preferred / Nice to Have

• Experience building platforms that integrate with Jira, GitHub, or enterprise ALM toolchains.
• Contributions to open-source AI/ML or agentic systems projects.
• Published solution frameworks or conference presentations in distributed systems or AI.