Principal, AI Strategy & Engineering Transformation
Maxar Technologies2 hours ago
Remote, United StatesStaff+
Base Salary
$150k - $242k/yr
Responsibilities
- Define Vantor’s strategy, roadmap, investment priorities, default tools, approved patterns, exception paths, and experiments for AI-assisted software engineering.
- Design, prototype, and validate agentic and AI-assisted workflows for coding, testing, documentation, code review, bug finding, repository automation, and workflow orchestration.
- Use modern AI tooling, APIs, scripting, prompt and context engineering, and developer-tool integrations to create reusable workflows and operating patterns.
- Analyze and redesign software engineering workflows across requirements, backlog management, development, testing, releases, documentation, and post-launch learning.
- Lead engineering-tool pilots, dogfooding, evidence collection, blocker removal, scaling decisions, playbook development, and adoption through embedded Pioneer and Champion networks.
- Partner with Security, Compliance, Privacy, IT, and engineering teams on identity, authorization, secrets, network and egress controls, data handling, logging, retention, and human review.
- Define success metrics and provide evidence-backed recommendations for standardization, scaling, modification, or discontinuation of AI initiatives.
- Operate a cross-functional portfolio through milestones, decision gates, dependencies, owners, risks, executive readouts, vendor evaluation, and procurement decisions.
Requirements
- 8+ years of relevant experience across software engineering, developer platforms, technical product or program leadership, engineering enablement, or enterprise technology transformation.
- Hands-on experience building AI-assisted workflows, agents, prototypes, integrations, or developer automation with modern generative-AI tools.
- Strong understanding of the software delivery lifecycle, including Git-based workflows, CI/CD, testing, code review, repository automation, and secure development practices.
- Ability to use programming or scripting, APIs, and automation tooling to build prototypes, evaluation harnesses, and repeatable workflows.
- Experience turning ambiguous opportunities into structured experiments, measurable outcomes, roadmaps, and clear decisions.
- Experience leading cross-functional initiatives involving engineers, senior leaders, platform owners, security, compliance, infrastructure, and business stakeholders.
- Working knowledge of enterprise security, data governance, responsible AI, and controls for safe AI use in software delivery.
- Ability to influence without direct authority, coach technical teams, facilitate working sessions, and drive adoption of unfamiliar tools or practices.
- Excellent written and verbal communication, including translating technical evidence into concise executive recommendations.
- Bachelor’s degree in Computer Science, Software Engineering, Data or AI, Systems Engineering, or a related discipline, or equivalent demonstrated experience.
- Preferred qualifications include experience with regulated, export-controlled, disconnected, or restricted environments; AI coding assistants, agent frameworks, retrieval-augmented systems, local inference, developer productivity measurement, engineering metrics, GitHub Enterprise governance, platform migrations, cloud platforms, DevOps practices, vendor evaluation, procurement, and enterprise change programs.
Benefits
- Competitive total rewards package with a 401(k) and company match, mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance.
- Incentive eligible, with the target based on contribution, company performance, and/or individual results; the specific plan and target are determined by role and contribution breadth.
- The application window is three days from posting and remains open until a qualified candidate is identified; applications are submitted through Vantor’s Career page.
- The candidate must be a U.S. Person as defined by the posting, and the role may involve export-controlled or restricted engineering environments.
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