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HCLTech

AI Solution Principal

ON, Canada
Ontario, Canada, Canada

Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 1, 2026

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Original job description

Job Role Overview:

The Solution Principal I is a client-facing leader responsible for the commercial success, solution strategy, and delivery oversight of modernization and AI transformation engagements. This role bridges consulting, sales, architecture, and delivery - owning opportunities from qualification through execution while building trusted relationships with client executives.

As the entry point into the Principal track, this role requires a balance of business development, technical credibility, and leadership, with accountability for growing a portfolio of opportunities and delivering successful client outcomes.

Drives design of integrated business-and-technology solutions for large or complex deals. Ensures soundness, scalability, and value through co-sell motions with partners.Advises pursuit teams on deal strategy and competitive differentiation, engaging directly with clients to validate solution decisions and support closures.

Applies deep techno-functional orientation with familiarity of hyperscaler ecosystems (Azure/ AWS/ GCP), major Tech OEMs (IBM/ Cisco/ SAP/ Dell/ HP/ Intel/ NVIDIA/ VMware/ AMD), partner/HCL platforms, and understanding of co-sell frameworks to ensure solution alignment with vendor roadmaps while guiding junior team members.

Key Responsibilities:

Own a portfolio of modernization opportunities from qualification through close and delivery.

Lead pursuit teams: shape win themes, orchestrate Solution Architects, price engagements, and present to client buyers.

Ensure adherence to architectural principles, coding standards, best practices in model development, versioning, testing, and validation. Conduct architectural reviews and provide constructive feedback to ensure solution integrity and quality.

Partner with Enterprise Architects and Solution Architects to translate technical solutions into compelling commercial narratives.

Act as the executive sponsor for active engagements, managing escalations and steering committees. Develop and maintain client relationships at the director and VP level.

Contribute to practice development: case studies, GTM motions, partner co-selling. Integrate GenAI tooling across the full SDLC: requirements, design, code generation, testing, security scanning, and documentation

Build and maintain a strong pipeline of qualified opportunities to drive sustainable revenue growth. Drive pipeline growth by identifying, shaping, and advancing high-value opportunities across key accounts.

Establish AI-augmented CI/CD pipelines that include automated regression, semantic diff, and migration validation gates. Define branching strategies, migration-as-code patterns, and rollback playbooks for high-risk legacy cutover events

Champion shift-left testing and observability practices in newly modernized platforms

Designs and implements scalable AI systems or reusable accelerators across functions. Operates autonomously in ambiguous problem spaces and mentors others in best practices. Delivers end-to-end AI prototypes or enablement assets with minimal guidance. Independently integrates models, data pipelines, or APIs to solve defined problems.

Required Skills & Experience

10–14 years of consulting, professional services, or client-facing technology leadership.

Demonstrated ability to close $1M+ engagements in cloud, modernization, or digital transformation.

Strong credibility as a former practitioner - can hold a technical conversation with client architects.

Excellent commercial acumen: pricing models, margin management, risk transfer, and contract structuring.

Fluency in the GenAI-enabled modernization narrative and the AI Force AI Workbench value proposition.

Integrate GenAI tooling across the full SDLC: requirements, design, code generation, testing, security scanning, and documentation

Establish AI-augmented CI/CD pipelines that include automated regression, semantic diff, and migration validation gates

Define branching strategies, migration-as-code patterns, and rollback playbooks for high-risk legacy cutover events

Champion shift-left testing and observability practices in newly modernized platforms

Preferred Qualifications

Existing relationships with hyperscaler field teams (AWS, Azure, GCP).

Industry vertical specialization with named accounts.

MBA or equivalent business credential.

GTM & Evangelism Contribution

Own an individual sales quota and contribute directly to practice revenue growth.

Lead pursuit war rooms and competitive deal strategies.

Drive proposal development, executive presentations, and contract negotiations.

Support partner-led opportunities and co-sell motions with hyperscalers and technology partners.

Act as a trusted advisor to clients, helping shape long-term modernization and AI transformation roadmaps.

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More about this job

Responsibilities

Own modernization and AI transformation opportunities from qualification through delivery, leading pursuit teams, shaping commercial solutions, and supporting deal closure. Sponsor client engagements, manage executive relationships and escalations, and contribute to pipeline growth, partner co-selling, and practice development.

Requirements

Requires 10–14 years of consulting, professional services, or client-facing technology leadership, a record of closing engagements worth $1 million or more, and strong technical credibility in cloud and modernization. Candidates should bring commercial expertise, GenAI-enabled modernization knowledge, and experience with AI-augmented SDLC and CI/CD practices; hyperscaler relationships, industry specialization, and an MBA or equivalent are preferred.

Skills

Business Development
Solution Strategy
Cloud Modernization
Generative AI
Solution Architecture
Commercial Acumen
Deal Strategy
Pricing and Margin Management
CI/CD
Migration Planning
Model Development
Testing and Validation
Observability
Partner Co-Selling
Executive Leadership

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
AI Force AI Workbench
Cloud Modernization
Digital Transformation
Azure
AWS
Google Cloud Platform
IBM
Cisco
SAP
Dell
HP
Intel
NVIDIA
VMware
AMD
Solution Architecture
Enterprise Architecture
AI-Augmented CI/CD
Automated Regression Testing
Semantic Diff
Migration-as-Code
Branching Strategies
Rollback Playbooks
Shift-Left Testing
Observability
Model Development
Versioning
Security Scanning
Partner Co-Selling

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