{"id":3198635,"url":"https://alion.io/job/alkermes-senior-engineer-platform-engineering-ai-enablement-2","title":"Senior Engineer, Platform Engineering & AI Enablement","company":{"id":1780712,"name":"Alkermes","domain":"alkermes.com","url":"https://alion.io/company/alkermes","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-31T05:58:55Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Waltham, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":190000,"currency":"USD","period":"year","gross":null,"usd_annual":190000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Ansible","optional":true},{"name":"CloudFormation","optional":true},{"name":"Datadog","optional":true},{"name":"Docker","optional":true},{"name":"GitHub","optional":true},{"name":"GitLab","optional":true},{"name":"Grafana","optional":true},{"name":"Kubernetes","optional":true},{"name":"New Relic","optional":true},{"name":"PowerShell","optional":true},{"name":"Python","optional":true},{"name":"Snowflake","optional":true},{"name":"Splunk","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-19T17:54:42Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-30T17:06:49Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Alkermes is building the next generation of cloud, data, and artificial intelligence capabilities to accelerate innovation across the enterprise. We are seeking a Senior Platform Engineer to build and support the foundational platforms, automation, and engineering practices that enable secure, scalable, and reliable delivery of applications, analytics, and artificial intelligence solutions.\nThis role will contribute to the engineering foundations supporting enterprise AI initiatives, including generative AI applications, model deployment, monitoring, governance, and secure production use. The engineer will partner with INDIGO, Security, Infrastructure, Data & Analytics, and delivery teams to simplify development processes, improve developer productivity, and enable cloud, data, and AI solutions.\nSuccess in this role will improve delivery speed, platform reliability, developer experience, and the secure adoption of AI technologies across Alkermes.\nPlatform Engineering & Automation\nBuild and maintain reusable platform services, automation, and standard engineering patterns.\n\nDevelop self-service capabilities that help application, data, and AI teams deliver solutions more efficiently.\n\nSupport the evolution of internal developer platform capabilities and standardized developer workflows.\n\nAutomate repetitive activities across cloud, data, AI, and application delivery.\n\nCreate and maintain tools, templates, and workflows supporting architecture intake, risk assessment, and solution reviews.\n\nImplement platform improvements based on agreed architecture and engineering roadmaps.\n\nSoftware Delivery & Developer Experience\nBuild and maintain automated integration, testing, deployment, and release pipelines.\n\nImplement infrastructure through version-controlled code and reusable templates.\n\nHelp standardize deployment, configuration, and release processes.\n\nDevelop reusable workflows and guardrails that make approved engineering practices easier to follow.\n\nIdentify opportunities to reduce manual effort and unnecessary developer friction.\n\nMonitor platform adoption, delivery performance, reliability, and quality.\n\nMaintain clear technical documentation, operational procedures, and platform guidance.\n\nCloud Operations, Reliability & Security\nBuild and operate secure, scalable, reliable, and cost-effective cloud platform services, primarily in AWS.\n\nImplement monitoring, logging, alerting, dashboards, and service-health measures.\n\nParticipate in incident response, problem investigation, and post-incident improvement activities.\n\nSupport disaster recovery, platform patching, upgrades, and vulnerability remediation.\n\nEmbed security and compliance controls into platform services and automated delivery workflows.\n\nEvaluate platform performance, reliability, security, and cost to recommend practical improvements.\n\nArtificial Intelligence & Data Enablement\nBuild reusable platform capabilities and cloud patterns for AI, machine learning, analytics, and generative AI workloads.\n\nPartner with data scientists, engineers, and technical teams to move solutions from development into reliable production use.\n\nAutomate model and AI application deployment, configuration, monitoring, and lifecycle activities.\n\nImplement approved controls for validation, security, traceability, explainability, and regulatory compliance.\n\nSupport AI development environments, shared services, and integration patterns.\n\nEvaluate emerging technologies that may improve engineering productivity, platform capabilities, or business outcomes.\n\nDocument reusable AI deployment patterns and lessons learned for broader adoption.\n\nPlatform Support & Operational Readiness\nEnsure platform services have appropriate documentation, monitoring, support procedures, and ownership.\n\nAssist delivery teams with onboarding, troubleshooting, and adoption of shared platform capabilities.\n\nIdentify recurring support requests that should be addressed through automation or self-service.\n\nParticipate in platform health reviews and recommend corrective actions.\n\nSupport capacity, availability, performance, and resilience planning.\n\nWork with service owners to transition new capabilities into sustainable operational support.\n\nCollaboration & Technical Contribution\nWork across Architecture, Engineering, Security, Infrastructure, Product, Data, and business teams to deliver shared outcomes.\n\nParticipate in technical design reviews and Architecture Review Board preparation.\n\nProvide practical technical input on platform fit, feasibility, supportability, and implementation risk.\n\nShare knowledge and promote consistent engineering practices across delivery teams.\n\nMentor less-experienced engineers through pairing, design discussions, and technical guidance.\n\nCommunicate technical issues, risks, dependencies, and recommendations clearly.\n\nChallenge inefficient practices and propose automation or platform-based solutions.\n\nBasic/Required Qualifications\nBachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.\n\n5 or more years of experience in software engineering, platform engineering, cloud engineering, site reliability, or DevOps.\n\nHands-on experience building or operating cloud platforms, preferably in AWS.\n\nExperience with automated build, testing, deployment, and release pipelines.\n\nExperience implementing infrastructure through code and automation.\n\nExperience with cloud security, monitoring, logging, and operational support.\n\nExperience using scripting or programming languages to automate engineering workflows.\n\nAbility to independently deliver technical solutions within larger cross-functional initiatives.\n\nExperience working with AI, machine learning, data, or analytics platforms.\n\nAbility to troubleshoot complex technical and integration issues.\n\nExperience working in an Agile environment using iterative planning, backlog management, and continuous delivery.\n\nStrong communication skills with both technical and nontechnical audiences.\n\nPreferred Qualifications/Skills\nExperience with AWS platform services.\n\nTerraform, Ansible, CloudFormation, or comparable infrastructure automation tools.\n\nKubernetes, Docker, or similar container technologies.\n\nGitLab, GitHub, or another source-control and delivery platform.\n\nMonitoring and observability platforms such as Datadog, Splunk, New Relic, or Grafana.\n\nPython, PowerShell, Bash, or similar scripting languages.\n\nExperience with Snowflake or other enterprise data platforms.\n\nFamiliarity with machine learning operations, generative AI environments, or AI application deployment.\n\nExperience with model monitoring, AI observability, or AI lifecycle automation.\n\nInternal developer platforms, workflow automation, and self-service engineering.\n\nExperience working in a regulated environment; life sciences experience is preferred.\n\nRelevant AWS, Kubernetes, security, or infrastructure automation certifications.\n\nCore Competencies\nHands-on technical execution\n\nAutomation mindset\n\nPlatform reliability\n\nSecurity and compliance awareness\n\nStructured problem-solving\n\nCross-functional collaboration\n\nClear technical communication\n\nContinuous improvement\n\nCustomer and developer focus\n\nLearning agility\n\nThe annual base salary for this position ranges from $150,000 to $190,000. In addition, this position is eligible for an annual performance pay bonus. Exact compensation may vary based on skills, training, knowledge, and experience. Alkermes offers a competitive benefits package. Additional details can be found on our careers website: www.alkermes.com/careers#working-here\nAlkermes has recently adopted a hybrid working environment to support and meet the needs of employees and this role will operate in a flexible environment with 60% of time in the office and 40% from home. This position is eligible for the hybrid workplace model, requiring work to be completed onsite at our Waltham, MA office at least 3 days per week. 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