VP, Technology & AI Strategy

Role Overview A client of Attain Talent is seeking a senior technology executive to lead engineering execution, platform delivery, architecture, and AI strategy across the organization. This leader will build a disciplined, high-performing technology function capable of delivering complex government programs while advancing the company’s platform, operational maturity, and AI-enabled growth agenda. The role sits at the intersection of engineering leadership, platform architecture, DevOps, client delivery, productization, and technical support for growth.

A core mandate is to operationalize AI internally across engineering, QA, support, documentation, and delivery while also shaping AI-enabled capabilities that can be commercialized in the market. Internal AI Operationalization Embed AI into internal workflows to reduce manual effort, improve quality, and increase delivery consistency. Convert AI-enabled capabilities into differentiated features, accelerators, and service offerings.

AI Commercialization Partner with product and sales to identify marketable AI use cases suited to government environments. Ensure offerings are explainable, secure, supportable, and tied to real client value.

Key Responsibilities

Engineering Execution & Delivery Leadership Lead the engineering organization responsible for platform development and client Oversee technical execution from solution design through deployment, transition, and operational Establish strong delivery discipline across planning, SDLC governance, release management, documentation, operational readiness, and quality assurance. Provide portfolio-level oversight across multiple engagements to improve predictability, consistency, and resource efficiency. Platform Architecture & Productization Evolve the platform architecture to support enterprise-scale deployments, configurability, maintainability, and multi-client reuse.

Define and enforce technical standards across integrations, data flows, security, deployment models, and performance. Convert implementation-specific solutions into reusable platform capabilities, accelerators, and packaged offerings. AI Strategy, Operationalization & Governance Define and lead the company’s practical AI strategy across engineering, delivery, QA, support, documentation, and shared services.

Operationalize AI through repeatable workflows, tooling standards, governance controls, human review practices, and measurable KPIs. Establish policies for responsible AI usage covering data handling, validation, auditability, and secure AI Commercialization & Market Differentiation Partner with product, sales, and executive leadership to identify AI-enabled features, accelerators, and service offerings that can be commercialized. Translate client and market needs into practical AI use cases such as intelligent search, document processing, summarization, workflow augmentation, and decision support.

Support positioning, roadmap definition, and technical value articulation for AI-enabled Infrastructure, DevOps & Leadership Oversee cloud infrastructure, DevOps practices, deployment automation, and operational Build and mentor a high-performing leadership bench of engineering managers, architects, and technical leads.

Requirements

into executable architectures, realistic estimates, and delivery Build trust with government stakeholders through disciplined execution, transparency, and sound technical judgment.

Required Qualifications

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field 12+ years in software engineering, architecture, platform delivery, or technology leadership 5+ years in a senior leadership role such as Director, VP, or Principal Architect Experience