Role Overview

The AI Strategic Advisor/AI Consulting Partner is responsible for shaping and executing the organization’s AI vision, driving enterprise-wide transformation, and delivering measurable business impact. This role partners with executive leadership and cross-functional teams to architect and scale AI-first solutions, foster responsible innovation, and position the organization as a market leader in AI.

Key Responsibilities

1.

Strategic AI Leadership & Transformation:

• Define and drive the enterprise AI strategy, aligning with business objectives and industry trends.

• Lead the integration of Generative AI, Agentic AI, and advanced analytics into core business processes, enabling sustainable transformation and competitive advantage.

• Architect and oversee the full lifecycle of AI initiatives—from ideation and prototyping to production deployment and scaling.

• Translate complex AI opportunities into tangible outcomes for both technical and non-technical audiences.

2.

Industry & Domain Expertise:

• Demonstrate deep expertise in one or more sectors (e.g., BFSI, CPG/Retail, Manufacturing, Healthcare).

• Advise on sector-specific challenges, regulatory environments, and data ecosystems.

• Leverage experience with market-leading brands and global organizations.

3.

Client Engagement & Advisory:

• Engage with C-level executives and senior stakeholders, acting as a trusted advisor on AI strategy and transformation.

• Facilitate workshops, visioning sessions, and strategic planning to build consensus and secure leadership commitment.

• Guide clients through AI adoption, change management, and capability building.

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4.

Technical Excellence & Solution Delivery:

• Lead technical teams in designing, architecting, and delivering enterprise-scale AI solutions (GenAI, LLMs, RAG, agentic frameworks, cloud platforms).

• Ensure best practices in cloud, DevOps, MLOps, and data governance.

• Oversee risk assessment, ethical AI deployment, and regulatory compliance.

5.

Thought Leadership & Innovation:

• Publish research, whitepapers, and IP in AI and related fields.

• Represent the organization at industry forums, conferences, and academic collaborations.

• Drive internal capability building, knowledge sharing, and a culture of experimentation.

6.

Talent Development & Team Leadership:

• Mentor and develop cross-functional, global teams.

• Foster diversity, inclusion, and continuous learning.

• Lead talent acquisition and upskilling initiatives for AI readiness.

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Core Skills & Qualifications

• Bachelor’s/Master’s/PhD in Computer Science, Data Science, AI/ML, or related field.

• 15+ years in technology consulting, AI/ML strategy, or enterprise architecture (20+ years preferred for CXO-level engagement).

• Proven leadership in enterprise-scale AI initiatives, including GenAI and agentic AI deployments.

• Strong executive presence, strategic thinking, and exceptional communication skills.

• Experience managing budgets, vendor relationships, and large-scale client engagements.

• Recognized contributions to open-source projects, technical publications, or industry standards.

Additional Attributes

• Commitment to Responsible AI principles: fairness, transparency, and compliance.

• Ability to foster innovation, experimentation, and continuous improvement.

• Experience in talent development and leading global, multidisciplinary teams.

• Track record of high-impact roles with strong brand recall and industry distinction.

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