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Principal or Senior / AI Solution Architect (Strategic Advisory)

Prahartech
Remote

Quick apply

Job details

Part-time | Full-time
₹40,00,000 - ₹50,00,000 a year
12 hours ago

Qualifications

Go
Law
Master's degree
Mentoring
SharePoint
Solution architecture
AI
Communication skills

Full job description

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

Quick apply

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