Principal or Senior / AI Solution Architect (Strategic Advisory)
Number of Positions: 2
Location: Remote, India
Engagement Type: Full-time, embedded with client team
Role Overview
The AI Solution Architect serves as the technical authority and strategic advisor across all priority use cases. This person provides end-to-end architectural oversight, ensures design consistency across delivery teams, and bridges the gap between the AI Foundry's reusable platform services and actual production delivery. The role requires making Go/No-Go decisions on architecture and guiding multiple partner teams toward aligned, scalable solutions.
Key Responsibilities
- Embed with the client AI team to gain full understanding of all priority use cases and current architecture
- Assess current technical approaches across multiple delivery partners and identify coordination gaps
- Define and enforce standard AI architecture patterns across use cases (model selection, RAG pipelines, chunking, orchestration)
- Identify and eliminate duplicate components; mandate consolidation into reusable services
- Provide technical visibility and recommendations to Gas Power executive leadership
- Participate in PI Planning sessions and monthly executive reviews
- Define observability, evaluation, and monitoring frameworks (latency, accuracy, hallucination tracking, cost)
- Upskill delivery partner teams on validated architectural patterns and best practices
- Own cost efficiency of AI solutions by influencing design choices (model usage, token optimization, retrieval strategies)
Required Qualifications Technical Requirements
- 10+ years in solution architecture with 3 to 5 years focused on AI/ML solutions
- Deep expertise in Generative AI architecture: RAG pipelines, agentic frameworks, LLM orchestration, multi-agent systems
- Proven ability to design scalable, reusable AI patterns applicable across multiple use cases and teams
- Experience addressing prompt brittleness, chunking strategies, hybrid retrieval methods (semantic + keyword), and re-ranking
- Experience evaluating platform/foundry reusable services and making fit-for-purpose vs. technical debt determinations
- T-shaped expertise: deep in AI solution architecture with breadth across data architecture, integration, and infrastructure
- Experience with enterprise data platforms (Databricks, SharePoint, ERP systems) and integration patterns
- Knowledge of observability and evaluation frameworks for AI systems
Advisory and Leadership Requirements
- Demonstrated experience in a strategic advisory capacity, not solely implementation
- Track record of working across multiple delivery partners simultaneously in enterprise settings
- Executive communication skills, able to present to VP/Sr. Director-level stakeholders
- Influence without authority, able to guide partner delivery teams without direct management
- Coaching and mentoring experience, actively developing junior and mid-level architects
- Ability to navigate organizational complexity, political dynamics, and multi-team coordination
- Experience translating ambiguous objectives into structured action plans
Specific Technical Focus Areas
- RAG pipeline architecture: chunking, embedding models, hybrid search, retrieval optimization
- Agentic AI orchestration patterns and multi-agent coordination
- Non-sequential document context extraction (critical for document-heavy use cases)
- Model selection strategy and token/cost optimization
- Standardized integration patterns with enterprise data systems
- Architecture governance: defining and enforcing patterns across independent delivery teams
Pay: ₹4,000,000.00 - ₹5,000,000.00 per year
Work Location: Remote
