Bristol, England
Job Summary
Role Overview We are seeking a Sales AI Principal to drive AI-led business growth by combining deep technical expertise with strong sales and client engagement capabilities. This role will act as a strategic bridge between AI solutions and business outcomes, enabling clients to adopt Advanced AI/GenAI at scale. Key Responsibilities Lead AI/GenAI solution sales across industries (Banking, Manufacturing, Retail, etc.) Partner with sales teams to shape AI-led deals, RFP responses, and proposals Drive client conversations at CXO level to position AI transformation strategies Build and present value-driven AI use cases, demos, and PoCs Collaborate with delivery, data science, and engineering teams to ensure solution feasibility Develop industry-specific AI offerings and go-to-market strategies Own revenue targets, pipeline growth, and deal closures for AI solutions Track market trends and align HCLTech capabilities with emerging AI opportunities (GenAI, Agentic AI, Automation) Core Skills Required Technical Skills Strong understanding of: AI/ML, Deep Learning, NLP, Computer Vision Generative AI (LLMs, RAG, fine-tuning, prompt engineering) Data platforms (Azure Fabric) Experience with tools like: Azure OpenAI, Databricks, TensorFlow/PyTorch MLOps frameworks and AI deployment architectures Ability to translate business problems into AI solutions Sales & Consulting Skills Proven experience in: Solution selling / consultative selling Managing small to large AI deals Creating proposals, business cases, and ROI models Strong storytelling and executive presentation skills Experience in client stakeholder management (CXO, VP level) Business & Domain Skills Understanding of industry-specific AI use cases Ability to align AI initiatives with business KPIs (revenue, cost, efficiency) Knowledge of digital transformation and enterprise architecture Soft Skills Strategic thinking and problem-solving Strong communication and influencing skills Ability to work across global, cross-functional teams Leadership mindset with mentoring capability Qualifications Bachelor’s or Master’s degree in Engineering, Data Science, AI, or related field MBA is a plus 12–18+ years of experience with AI+Sales Consulting blend
Key Responsibilities
Key Responsibilities
Lead AI/GenAI solution sales across industries (Banking, Manufacturing, Retail, etc.)
Partner with sales teams to shape AI-led deals , RFP responses, and proposals
Drive client conversations at CXO level to position AI transformation strategies
Build and present value-driven AI use cases , demos, and PoCs
Collaborate with delivery, data science, and engineering teams to ensure solution feasibility
Develop industry-specific AI offerings and go-to-market strategies
Own revenue targets, pipeline growth, and deal closures for AI solutions
Track market trends and align HCLTech capabilities with emerging AI opportunities (GenAI, Agentic AI, Automation)
Skill Requirements
Core Skills Required
Technical Skills
Strong understanding of:
AI/ML, Deep Learning, NLP, Computer Vision
Generative AI (LLMs, RAG, fine-tuning, prompt engineering)
Data platforms (Azure Fabric)
Experience with tools like:
Azure OpenAI, Databricks, TensorFlow/PyTorch
MLOps frameworks and AI deployment architectures
Ability to translate business problems into AI solutions
Sales & Consulting Skills
Proven experience in:
Solution selling / consultative selling
Managing small to large AI deals
Creating proposals, business cases, and ROI models
Strong storytelling and executive presentation skills
Experience in client stakeholder management (CXO, VP level)
Business & Domain Skills
Understanding of industry-specific AI use cases
Ability to align AI initiatives with business KPIs (revenue, cost, efficiency)
Knowledge of digital transformation and enterprise architecture
Soft Skills
Strategic thinking and problem-solving
Strong communication and influencing skills
Ability to work across global, cross-functional teams
Leadership mindset with mentoring capability
Other Requirements
Preferred Experience
Experience in AI practice building or CoE leadership
Exposure to Microsoft AI ecosystem (Azure AI, Copilot, Fabric)
Prior experience working with global system integrators or large enterprises
Success Metrics
AI-driven revenue growth
Deal win rate and pipeline conversion
Client satisfaction and strategic account expansion
Innovation in AI offerings and reusable assets
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