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The Principal Consultant is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts as a strategic anchor between clients, architects, delivery managers, project managers, and delivery teams. In the AI-first GCID organization, Principal Consultants are expected to embed AI-native thinking into delivery models, ensuring solutions are intelligent, scalable, and aligned with business outcomes. The ideal candidate is passionate about technology, demonstrates breadth of expertise, and advocates for solutions that deliver true client value.
Job Responsibility:
AI-First Delivery Leadership: Embed AI-first principles into delivery workflows
Lead end-to-end delivery of complex projects
Drive engineering excellence through reusable components, accelerators, and scalable architecture
Oversee technical execution across multiple projects
Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches
Act as a technical point of contact for clients
Ensure delivery models are optimized for modern AI-native execution
Ability to step into at‑risk projects, quickly assess issues, and establish a credible path to recovery or exit
Engineering Excellence: Champion high-quality engineering practices across all delivery engagements
Ensure adherence to coding standards, architectural integrity, and performance benchmarks
Define and institutionalize engineering guardrails
Encourage continuous learning and technical certifications
Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD)
Foster a culture of technical rigor, innovation, and accountability
Innovation & Thought Leadership: Use design thinking to shape user‑centric solutions
Monitor and evaluate emerging technologies to inform strategic direction
Lead innovation in delivery models, reusable assets, and accelerators
Champion modern thinking and best practices
Client Engagement & Solutioning: Engage with clients to understand business needs and provide expert guidance
Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals
Build and maintain strong client relationships
Partner with client leadership to drive the cultural shift required for "AI-native" operations
Team Management & Mentorship: Lead and mentor cross-functional teams
Conduct reviews, provide feedback, and support professional development of team members
Quality & Compliance: Ensure secure, compliant, and reliable solution delivery through secure coding, test driven development, observability, design reviews, and quality gates
Strategic Partnering: Serve as a strategic partner for internal and external stakeholders on key initiatives
Provide strategic guidance and execution oversight
Define and track specific Business KPIs (e.g., revenue uplift, operational cost reduction, customer CSAT improvement) associated with AI initiatives
Requirements:
20+ years of experience in software/solution engineering, with at least 3–5 years in delivery leadership roles
Proven experience in leading delivery of complex, multi-disciplinary projects
Strong understanding of modern delivery methodologies (Agile, Scrum, DevOps, etc.)
Excellent communication, stakeholder management, problem-solving, and team leadership skills
Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience)
Relevant certifications are a plus
Areas of Expertise: Enterprise Data Architecture & Modern Platforms
Certifications (Preferred): Two or more of the following: Microsoft Certified: Fabric Analytics Engineer Associate (DP‑600), Microsoft Certified: Azure Solutions Architect Expert (AZ‑305), Microsoft Certified: Azure AI Engineer Associate (AI‑102)
Nice to have: Microsoft Certified: Information Protection and Compliance Administrator Associate (SC400), Microsoft Certified: Azure Machine Learning Engineer Associate (DP100), Microsoft Certified: DevOps Engineer Expert (AZ400), Confluent Certified Developer for Apache Kafka (CCDAK), Databricks Data Engineer Associate / Professional, Certified Kubernetes Application Developer (CKAD), Microsoft Certified: Security, Compliance, and Identity Fundamentals (SC‑900), GitHub Certified: GitHub Copilot Professional (GHCP / GH‑300)
Personal Attributes: Passion for technology and innovation
Ability to interact confidently with senior leaders and clients
Strong decision-making skills and a consultative mindset
Flexibility to manage a fast-moving, ambiguous consulting environment
Commitment to continuous learning and professional growth
Nice to have:
Microsoft Certified: Information Protection and Compliance Administrator Associate (SC400)
Microsoft Certified: Azure Machine Learning Engineer Associate (DP100)
Microsoft Certified: DevOps Engineer Expert (AZ400)
Confluent Certified Developer for Apache Kafka (CCDAK)
Databricks Data Engineer Associate / Professional
Certified Kubernetes Application Developer (CKAD)
Microsoft Certified: Security, Compliance, and Identity Fundamentals (SC‑900)
GitHub Certified: GitHub Copilot Professional (GHCP / GH‑300)