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Alkermes

engineering opportunity

Principal Engineer, Platform Engineering & AI Enablement

The Principal Engineer will define and build foundational platforms, automation, and engineering practices to support enterprise AI initiatives and modern application delivery. They will partner with cross-functional teams to improve developer productivity, platform reliability, and secure adoption of cloud and AI technologies.

Waltham, Massachusetts, United StateshybridFULL_TIME

Posted

About the role

What will you do at Alkermes?

Overview

Alkermes is building the next generation of cloud, data, and AI capabilities to

accelerate innovation across the enterprise. We are seeking a Principal Engineer

to define and build the foundational platforms, automation, and engineering

practices that enable secure, scalable, and reliable delivery of modern

applications, analytics, and artificial intelligence solutions.

This individual will lead the engineering foundations that support enterprise AI

initiatives, including large language models, generative AI applications, model

lifecycle management, observability, governance, and secure deployment. The role

partners with INDIGO, Security, Infrastructure, Data Analytics, and delivery

teams to simplify processes, improve developer productivity, and enable cloud,

data, and artificial intelligence solutions.

The role reports to the Senior Director, Emerging Technology and Engineering and

follows a hybrid schedule of three days per week in the Waltham office. Success

in this role will accelerate solution delivery, improve platform reliability,

reduce operational overhead, and enable the secure adoption of AI technologies

across Alkermes.

RESPONSIBILITIES

Platform Strategy, Architecture & Automation

* Define and deliver the enterprise platform engineering roadmap.

* Build reusable services, self-service capabilities, and standard patterns

that help teams deliver solutions faster.

* Build and evolve Internal Developer Platform capabilities, self service

engineering services, and standardized developer workflows.

* Automate repetitive work across cloud, data, artificial intelligence, and

application delivery.

* Create tools, templates, and workflows that improve architecture intake, risk

assessment, and solution reviews.

* Advise the Architecture Review Board on technical feasibility, platform fit,

and risk.

Software Delivery & Developer Productivity

* Set practical standards for source control, automated build and release

pipelines, testing, and infrastructure managed as code.

* Standardize deployment, configuration, and release processes across teams.

* Improve developer experience through reusable workflows, guardrails, and

approved tools.

* Measure platform adoption, delivery speed, quality, and reduction of manual

effort.

Cloud Operations, Reliability & Security

* Design and operate secure, scalable, cost-effective cloud platform services

in AWS.

* Establish monitoring, logging, alerting, service objectives, and incident

response practices.

* Lead reliability improvements, post-incident reviews, disaster recovery,

patching, and vulnerability management.

* Embed security and compliance controls into platform designs and automated

delivery.

* Recommend tools and platform improvements based on cost, performance,

reliability, and business value.

Artificial Intelligence & Data Enablement

* Build reusable platform capabilities and cloud patterns for artificial

intelligence, machine learning, analytics, and generative AI workloads.

* Partner with data and science teams to move solutions from development into

reliable production use.

* Automate model deployment, monitoring, and lifecycle management.

* Apply governance requirements for validation, security, bias, explainability,

and regulatory compliance.

* Evaluate emerging technologies that improve engineering productivity or

business outcomes.

Collaboration & Technical Leadership

* Serve as a trusted technical advisor to senior technology leadership on

platform engineering, cloud strategy, and AI enablement.

* Work across Architecture, Engineering, Security, Infrastructure, PMO and

business teams to deliver shared outcomes.

* Mentor engineers and promote practical, consistent engineering practices.

* Influence technical decisions through hands-on expertise, clear

communication, and sound judgment.

* Challenge inefficient ways of working and build capabilities that reduce

reliance on external resources.

QUALIFICATIONS

Required Qualifications

* Bachelor's degree in computer science, Engineering, Information Technology,

or related field or equivalent in practical experience.

* 10+ years of experience across software engineering, platform engineering,

cloud engineering, or DevOps.

* 5+ years designing and operating enterprise cloud platforms, preferably on

AWS.

* Strong hands-on experience with automated build and release pipelines,

infrastructure managed as code, cloud security, and monitoring.

* Experience leading complex technical initiatives and influencing teams

without direct authority.

* Experience supporting artificial intelligence, data, or analytics platforms.

* Experience in a regulated industry; life sciences experience is preferred.

* Demonstrated ability to work effectively in an Agile environment, including

iterative planning, cross-functional collaboration, and continuous delivery.

* Strong communication skills with technical and nontechnical audiences

Preferred Skills

* AWS, Terraform, Ansible, CloudFormation, Kubernetes, Docker, GitLab, or

GitHub.

* Monitoring platforms such as Datadog, Splunk, New Relic, or Grafana.

* Python, PowerShell, Bash, or similar scripting languages.

* Snowflake, machine learning operations, or generative artificial intelligence

environments.

* Internal developer platforms, workflow automation, and self-service

engineering.

* Relevant AWS, Kubernetes, or infrastructure automation certifications.

The annual base salary for this position ranges from $180,000 to $210,000. 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

[http://www.alkermes.com/careers]

Alkermes 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. This role is not eligible for fully remote

work.

#LI-TS1

Why join Team Alkermes?

Alkermes applies its decades of deep neuroscience expertise to develop medicines

designed to help people living with complex and difficult-to-treat psychiatric

and neurological disorders. A global biopharmaceutical company, headquartered in

Ireland with U.S. locations in Massachusetts and Ohio, we seek to make a

meaningful difference in the way people manage their diseases. We have a

portfolio of proprietary commercial products for the treatment of alcohol

dependence, opioid dependence, schizophrenia, bipolar I disorder and narcolepsy,

and a pipeline of clinical and preclinical candidates in development for various

psychiatric and neurological disorders.

We are proud to have been recognized as an employer of choice by many national

organizations. In 2024 and 2025, we were certified as a Great Place to Work in

the U.S. and named one of Massachusetts’ Top Places to Work by the Boston Globe,

a Best Place to Work in Greater Cincinnati by the Cincinnati Business Courier

and recognized as a Best Place to Work in BioPharma by Fortune Magazine.

Alkermes, Inc. is an equal employment opportunity employer and does not

discriminate against any qualified applicant or employee because of race, creed,

color, age, national origin, ancestry, religion, gender, sexual orientation,

gender expression and identity, disability, genetic information, veteran status,

military status, application for military service or any other characteristic

protected by local, state or federal law. Alkermes also complies with all work

authorization and employment eligibility verification requirements of the

Immigration and Nationality Act and IRCA. Alkermes is an E-Verify employer.

Which skills does this role require?

Platform EngineeringCloud EngineeringDevOpsInfrastructure as CodeData AnalyticsSoftware ArchitectureSystem ReliabilityGovernanceAI EnablementCloud ComputingGenerative AIInternal Developer PlatformLife SciencesObservabilityDisaster RecoveryVulnerability ManagementLLMsProduct Strategy

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