AI Solution Principal II

AI Solution Principal II

As the Principal Data Pre-Sales Architect for the HCLTech Google Business Unit, you will be a visionary leader responsible for delivering complex enterprise solutions for HCLTech's enterprise customers. You will lead a team of Solution Architects and Data/AI Specialists. You will drive the technical strategy for "Big Bet" pursuits within Global 2000 (G2000) accounts, focusing on large-scale transformations, modern data estates, and "Agentic AI" architectures.

• Strategic Leadership & Global Growth
  • Global GTM Strategy:
    Define and execute the solutions strategy for Data, AI, and Analytics on GCP across multiple regions.
  • Pipeline Partnership:
    Collaborate with Sales and Cloud Alliance teams to identify and qualify large-scale data and AI opportunities.
  • Revenue Accountability:
    Own the technical "Win Rate" and contribute to the overall practice revenue targets through multi-million dollar deal closures.
• Solution Architecture & "Big Bet" Management
  • High-Stakes Bidding & Presentations:
    Lead executive-level presentations and technical responses for complex RFPs/RFIs as well as proactive solutions for Tier-1 global accounts.
  • Architectural Vision:
    Design end-to-end architectures for massive application migrations (~ 1000+ apps) and modern data journeys using Big Query, Vertex AI, and Gemini.
  • Agentic AI Evangelism:
    Showcase the power of Generative AI patterns, including RAG, fine-tuning, and multi-agent orchestration through custom prototypes built in coordination with Google Cloud CoE.
  • Value Engineering:
    Translate technical features into tangible business outcomes, such as ROI and TCO reduction.
• Team Development & Operational Excellence
  • Talent Mentorship:
    Build and manage a global team of architects, fostering a culture of continuous learning and GCP certification.
  • Asset Creation:
    Oversee the development of reusable "Pre-Sales Kits," high-impact demos, and whitepapers to accelerate the global sales cycle.
• Stakeholder & Alliance Management
  • Google Partnership:
    Maintain strong relationships with Google Cloud technical leadership to influence product roadmaps and secure POC funding.
  • Executive Presence:
    Serve as the primary technical advisor to C-suite stakeholders at prospective G2000 organizations.

Technical Expertise

• Data Mastery:
  Expert-level knowledge of Big Query, Dataflow, Looker, Dataplex, and "Agentic Data Cloud" concepts.
• AI/ML Leadership:
  Vertex AI/ Gemini Enterprise platform expertise, including various LLM Models, Gen AI Studio, ADK, A2A, and techniques such as Prompt Engineering, various ML Algorithms
• Cloud Foundation:
  Deep understanding of GCP infrastructure (Compute, GKE, Networking, Security) and hybrid/multi-cloud transformation strategies

• Experience:
  
  Overall 15 + years in IT Services/Consulting, with at least 5+ years in a senior leadership role. A minimum of 8 years as Pre Sales Architect or Enterprise Architecture is required.
• Proven Track Record:
  History of winning /$10M+ deals within the G2000 sector.
• Communication:
  Mastery of storytelling and visual communication for complex technical architectures.
• GSI Familiarity:
  Deep knowledge of GSI delivery models and the nuances of the Google-Partner relationship.
• Certifications:
  
  Active Google Cloud Professional certifications (Architect, Data Engineer, or ML Engineer).
• Education:
  
  Bachelor's or Master's degree in Computer Engineering, Data Science, or a related field; MBA is a significant advantage.

A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program;

401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.