Consultant

Exp: 5-10 Yrs

Location: Bangalore / Gurugram / Mumbai / Pune / Chennai / Kolkata / Hyderabad

Requirements

- Assist in discovery workshops to identify business opportunities and translate them into AI use cases, business cases, and solution requirements.
- Design end-to-end agent-driven business process flows and define agent hierarchies, help define AI solution blueprints, and high-level reference architectures.
- Develop functional specifications and collaborate with architecture and engineering teams to deliver implementation-ready solution designs.
- Apply foundational knowledge of enterprise data, data management, and analytics to shape AI solution design and business outcomes.
- Evaluate AI platforms, tools, and industry best practices to support solution recommendations and client engagements.
- Hands-on depth in at least one platform (AWS, Azure, Google Cloud), data platforms (Databricks, Snowflake), or foundation models (e.g., Anthropic, OpenAI)., plus conversant across the categories. Can weigh trade-offs (fit, cost, risk) within an engagement.

Manager

Exp: 11-15 Yrs

Location: Bangalore / Gurugram / Mumbai / Pune / Chennai / Kolkata / Hyderabad

Requirements

- Lead discovery workshops with business stakeholders to identify pain points, opportunities, and AI transformation use cases.
- Design and articulate end-to-end agentic solution for enterprise process/functional use-cases — the agent hierarchy, target-state agentic architecture, value streams, agent interation models and transformation roadmaps.



(with technical depth and agentic system build experience in 1 platform or functional area - GCP, AWS, Snowflake, DataBricks, Azure, Anthropic)
- Assess enterprise data maturity, governance and technology readiness to shape scalable AI adoption.
- Lead solution definition across business, architecture, data, and engineering teams while ensuring end-to-end traceability from business value to implementation.
- Develop value framework for Agentic AI with the right industry/clinet context. Using the framework, build executive business cases including value estimation, investment requirements, KPIs, and advantages realization.
- Drive business readiness and change management by defining stakeholder engagement, communication, training, and adoption plans for AI transformation initiatives.
- Deep in at least one platform (AWS, Azure, Google Cloud), data platforms (Databricks, Snowflake), or foundation models (e.g., Anthropic, OpenAI). and broadly credible across all three categories. Can shape platform and model choices with a client's tech leadership.

Fluent enough in the agentic AI stack to judge where autonomous systems create real value versus hype, and to shape platform and model choices with a client's tech leadership.

Senior Manager

Exp: 16-20 Yrs

Location:



Bangalore / Gurugram / Mumbai / Pune / Chennai / Kolkata / Hyderabad

Requirements

Basic Requirements

- Shape enterprise AI strategy and advise C-suite stakeholders on AI-led business, technology, and functional transformation.
- Lead executive discovery sessions to identify enterprise AI opportunities and define AI transformation roadmaps, investment priorities, and value realization strategies.
- Define enterprise AI and data architecture, including AI platform strategy, agentic architectures, enterprise data strategy, data products, semantic layer, and target-state AI capabilities. (with technical depth and agentic system build experience in 1 platform or functional area - GCP, AWS, Snowflake, DataBricks, Azure, Anthropic)
- Develop executive business cases, AI maturity assessments, value frameworks, and AI & data roadmaps to accelerate enterprise AI adoption.
- Lead multidisciplinary consulting teams across strategy, architecture, data, engineering, and change management while owning executive relationships and client outcomes.
- Drive practice growth through GTM development, solution innovation, proposal leadership, and AI opportunity origination.
- Deep in at least one platform (AWS, Azure, Google Cloud), data platforms (Databricks, Snowflake), or foundation models (e.g., Anthropic, OpenAI) and able to shape enterprise-wide platform, model and agentic ai strategy across hyperscalers, data platforms, and foundation model providers.

If interested, please share your resume at [email protected].

📌 Enterprise Value AI Architect (Bangalore Urban)
🏢 Mount Talent Consulting
📍 Bangalore Urban