Artificial Intelligence Consultant

GAC Solutions; India; On-site; INR 3,000,000 - 5,200,000; Full time

Job summary

GAC Solutions is seeking an experienced AI Solution Architect to design and deliver AI-driven solutions for clients, aligning with digital transformation goals and cloud-based architectures. You will develop blueprints, estimates, and delivery plans, coordinating with cross-functional teams and clients to ensure successful transitions from pursuit to delivery.

The role requires 5+ years in solution architecture and AI/GenAI experience, with hands-on knowledge of cloud platforms and data

Qualifications

• 5+ years in solution architecture or related roles.
• 3+ years designing or delivering AI, data, analytics, ML, GenAI, or automation solutions.
• 1+ year hands-on or solutioning experience with GenAI, LLMs, RAG, AI agents, or enterprise AI platforms.
• Experience producing solution blueprints, work estimates, delivery plans, staffing models, assumptions, dependencies, SOW inputs, and pricing or commercial inputs.
• Working knowledge of cloud, data, integration, application architecture, security, responsible AI, governance, and operational support considerations.
• Bachelor's degree or equivalent work experience.

Responsibilities

• Design AI solutions aligned to client requirements, NTT DATA standards, and delivery capabilities.
• Define scope, approach, solution blueprints, technical architectures, assumptions, dependencies, risks, and success criteria.
• Build work estimates across roles, effort, skills, locations, tooling, platforms, and delivery dependencies.
• Define workplan timelines, delivery phases, milestones, and MVP-to-scale implementation paths.
• Partner with delivery, finance, and commercial teams to shape pricing inputs, deal economics, margin assumptions, and commercial options.
• Support SOW development by defining scope boundaries, deliverables, acceptance criteria, dependencies, and change-control considerations.
• Validate feasibility, implementation approach, resourcing model, integration complexity, data readiness, security, governance, and operational support requirements.
• Incorporate partner platforms and models into solution designs where relevant.
• Support technical Q&A, client demos, solution walkthroughs, proposal defense, and transition from pursuit to delivery.
• Contribute reusable estimates, patterns, BOMs, workplans, solution artifacts, and lessons learned into the global AI GTM knowledge base.

Skills

Solution architecture

Technology consulting

Software engineering

Data engineering

Systems integration

Presales

Delivery roles

GenAI/AI solutions

AI/ML

Cross-functional collaboration

Education

Bachelor's degree or equivalent

Tools

Azure

AWS

GCP

OpenAI

Anthropic

Mistral

Google Gemini

Databricks

Snowflake

MLOps/LLMOps tooling

Job description

• - Design AI solutions aligned to client requirements, NTT DATA standards, and delivery capabilities.
• - Define scope, approach, solution blueprints, technical architectures, assumptions, dependencies, risks, and success criteria.
• - Build work estimates across roles, effort, skills, locations, tooling, platforms, and delivery dependencies.
• - Define workplan timelines, delivery phases, milestones, and MVP-to-scale implementation paths.
• - Partner with delivery, finance, and commercial teams to shape pricing inputs, deal economics, margin assumptions, and commercial options.
• - Support SOW development by defining scope boundaries, deliverables, acceptance criteria, dependencies, and change-control considerations.
• - Validate feasibility, implementation approach, resourcing model, integration complexity, data readiness, security, governance, and operational support requirements.
• - Incorporate partner platforms and models into solution designs where relevant.
• - Support technical Q&A, client demos, solution walkthroughs, proposal defense, and transition from pursuit to delivery.
• - Contribute reusable estimates, patterns, BOMs, workplans, solution artifacts, and lessons learned into the global AI GTM knowledge base.

Success Measures:

• - Pursuit deal volume, measured as total TCV value of AI deals where the AI Solution Architect supported.
• - Pursuit win rate for AI deals where the AI Solution Architect supported.
• - Utilization or billability against target.
• - Estimate quality, solution feasibility, commercial accuracy, and successful handoff into delivery.

Basic Qualifications:

• - 5+ years of experience in solution architecture, technology consulting, software engineering, data engineering, systems integration, presales, or delivery roles.
• - 3+ years of experience designing or delivering AI, data, analytics, ML, GenAI, agentic AI, or automation solutions.
• - 1+ year of hands-on or solutioning experience with GenAI, LLMs, RAG, AI agents, or enterprise AI platforms.
• - Experience producing solution blueprints, work estimates, delivery plans, staffing models, assumptions, dependencies, SOW inputs, and pricing or commercial inputs.
• - Working knowledge of cloud, data, integration, application architecture, security, responsible AI, governance, and operational support considerations.
• - Bachelor's degree or equivalent work experience.

Preferred Skills:

• - Experience with Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, Snowflake, vector databases, orchestration frameworks, and MLOps/LLMOps tooling.
• - AI/ML, cloud, data platform, architecture, or security certifications.
• - Strong analytical thinking, commercial judgment, written communication, cross-functional collaboration, and client-facing presentation skills.
• - Ability to travel as required for client and internal engagements.