{"id":1409313,"url":"https://alion.io/job/staples-director-engineering-ai-platform-agentic-ai","title":"Director, Engineering – AI Platform (Agentic AI)","company":{"id":1754708,"name":"Staples","domain":"staples.com","url":"https://alion.io/company/staples-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":82,"open_postings":15,"ghost_share":0,"stale_share":0.933,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-03T05:45:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Framingham, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":127000,"max_usd":239000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1670},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Function Calling","optional":false},{"name":"Gemini","optional":false},{"name":"Java","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"GraphRAG","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-09-28T11:30:23Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-04T02:05:23Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Our digital solutions team is more than a traditional IT organization. We are a team of passionate, collaborative, agile, inventive, customer-centric, results-oriented problem solvers. We are intellectually curious, love advancements in technology and seek to adapt technologies to drive Staples forward. We anticipate the needs of our customers and business partners and deliver reliable, customer-centric technology services.\nThe Director of Engineering, Agentic AI is responsible for defining and delivering the enterprise strategy for AI-enabled software engineering, with a focus on building a secure, scalable, and production-grade agentic AI platform across the software development lifecycle (SDLC). This role leads the transformation of engineering through AI-driven tools, workflows, and operating models that improve developer productivity, software quality, and speed to market.\nThis leader owns the end-to-end AI developer experience, including platform strategy, ecosystem integration, governance, and measurable outcomes. The role partners cross-functionally with Security, Risk, Legal, Infrastructure, and Product teams to enable responsible and scalable adoption of AI capabilities across the enterprise.\nStaples is at an inflection point in applying AI to the software development lifecycle. While we have successfully deployed AI across customer-facing and enterprise functions, we are in the early stages of transforming how software is built, tested, and delivered. This role is critical to establishing a scalable, cost-efficient, and enterprise-grade AI engineering ecosystem.\nWhat you’ll be doing:\nDrive end-to-end transformation of the SDLC, ensuring AI is embedded across requirements, development, testing, deployment, and post-release observability-not just code generation.\n\nDesign and implement secure, compliant AI platforms with embedded governance, guardrails, and auditability.\nEstablish and scale AI-powered capabilities including code assistants, agentic workflows, test automation, and developer productivity tools.\nBuild and integrate a developer productivity ecosystem spanning collaboration tools, workflows, knowledge systems, and AI platforms.\nDefine and track outcome-based metrics for developer productivity, software quality, and operational effectiveness, leveraging telemetry, observability frameworks, and reporting to measure AI impact at scale.\n\nEnsure scalability, reliability, resiliency, and cost optimization of AI and distributed systems.\nEvolve engineering operating models, delivery practices, and standards to support AI-enabled development.\nPartner with cross-functional stakeholders (Security, Risk, Legal, Infrastructure, Product) to drive safe and compliant AI adoption.\nAdvise executive leadership on emerging AI trends, risks, and enterprise opportunities.\nLead vendor evaluation, selection, negotiations, and ongoing management for AI platforms and tools.\nLead developer adoption, training, and governance frameworks to ensure responsible, effective use of AI across engineering teams.\n\nDrive continuous improvement in engineering processes, quality standards, and platform capabilities.\nDefine and optimize model usage strategies across use cases, balancing performance, cost, and scalability (e.g., token consumption, model selection, and workload segmentation).\n\nEvaluate and select AI tools, models, and platforms in a rapidly evolving landscape, aligning solutions to use case, cost, and performance requirements.\n\nWhat you bring to the table:\nProven experience implementing AI-enabled software development lifecycle transformation in production environments, including end-to-end integration and scaling across multiple engineering teams.\nStrategic thinking with the ability to translate vision into execution\nStrong leadership and team-building capabilities\nInfluencing and stakeholder management skills across all organizational levels\nAdvanced problem-solving and critical thinking abilities\nAdaptability in a fast-changing, emerging technology landscape\nResults orientation with a focus on measurable outcomes\nStrong communication and storytelling skills for executive audiences\nCollaborative mindset with a focus on cross-functional partnership\nWhat’s needed- Basic Qualifications:\nBachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or related field or equivalent work experience.\n10+ years designing and delivering distributed systems in production environments.\n5+years leading managers and multi-level engineering teams.\n2+ years building and scaling AI/ML or agentic systems, including multi-agent workflows and model lifecycle management.\nExperience with at least one enterprise AI platform (e.g., Azure AI, AWS Bedrock, Google Gemini, Databricks).\nExperience implementing agentic AI capabilities (e.g., orchestration, tool use, memory, evaluation).\nExperience building scalable, reliable, and cost-efficient distributed systems.\nProficiency in one or more programming languages (Java, Python, TypeScript, or similar).\nDemonstrated experience leading engineering teams, including managing managers and developing talent.\nStrong cross-functional leadership and stakeholder influence skills.\nHands-on experience designing and deploying AI-enabled engineering platforms-not solely defining strategy.\n\nAbility to translate complex technical concepts into executive-level insights.\nWhat’s needed- Preferred Qualifications:\nMaster’s degree in Computer Science, AI, Data Science, or related field\nExperience with RAG, GraphRAG, vector databases, and enterprise knowledge integration patterns\nExperience with AI orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex)\nExperience implementing AI governance, responsible AI, and model risk management frameworks\nExperience building secure AI platforms (e.g., access controls, audit logging, secrets management)\nExperience defining and tracking engineering productivity or quality metrics tied to business outcomes\nExperience leading enterprise-scale technology or platform transformations\nExperience managing vendor selection, negotiations, and partnerships\nWe Offer:\nInclusive culture with associate-led Business Resource Groups\n22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday)\nOnline and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!\nThe salary range represents the expected compensation for this role at the time of posting. The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity. In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation.","description_format":"text","description_chars":6766,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":5,"team_size_min":null,"manages_managers":true,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity","Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Commerce","Consumer Goods","Gifts, Party Supplies & Souvenirs"],"lifecycle":[{"event":"open","at":"2026-09-28T18:49:50Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 137 · green card filings: 34","filings_12m":137,"filings_prev_12m":154,"green_card_filings_12m":34,"median_offered_wage_usd":136506,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":8}],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.624,"p_room":1,"age_days":4,"expected_fill_days":19,"reasons":["conf:13","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/staples-director-engineering-ai-platform-agentic-ai","json_url":"https://alion.io/job/staples-director-engineering-ai-platform-agentic-ai.json","meta":{"generated_at":"2026-10-04T02:56:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4454,"day_limit":5000,"remaining_today":546,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}