AI Engineer (Hybrid)

AI Engineer (Hybrid)

Boston Full-Time 42000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design, develop, and deploy AI software products while collaborating with experts.
  • Company: Alkermes develops innovative medicines for psychiatric and neurological disorders, prioritising science and compassion.
  • Benefits: Enjoy a hybrid work schedule, diverse culture, and opportunities for professional growth.
  • Why this job: Join a team that makes a real impact in patients' lives and fosters inclusivity.
  • Qualifications: Bachelor's degree in Computer Science or related field; 5+ years in software development, especially AI.
  • Other info: Located in Waltham, with occasional business travel required.

The predicted salary is between 42000 - 84000 £ per year.

Join to apply for the AI Engineer (Hybrid) role at Alkermes.

Job Description

This individual will be accountable for the design, development, and deployment of AI software products that meet evolving Alkermes business needs and improve business processes. They will collaborate closely with data scientists, architects, data engineers, and other experts and business stakeholders to ensure successful deployment and support of their work in production environments. The successful candidate will have a deep working knowledge of generative AI models, strong programming skills, and experience with cloud computing platforms.

This position is located in our Waltham location and will work a weekly hybrid schedule.

Responsibilities

  • Collaboratively develop software solutions across data ingestion, processing, integration, preparation, user interface, and support
  • Engineer programmatic data pipelines and custom applications using tools such as Python, SQL, KNIME, Snowflake, Informatica, Tableau, Git, React.JS, DBT, and others
  • Utilize strong business analyst skills to effectively obtain user requirements to drive projects forward
  • Follow agile methodology, SDLC, and relevant SOPs to ensure successful delivery of IT initiatives and compliance with security and regulatory requirements
  • Create and distribute documentation such as functional requirements, architecture diagrams, use cases, testing documents, data flow diagrams, and project plans
  • Build and foster effective relationships between business stakeholders and IT
  • Oversee vendor relationships, manage license purchases/renewals, and coordinate troubleshooting
  • Introduce best practices and process improvements where appropriate
  • Ensure adherence to FDA computer systems validation requirements
  • Manage system change controls via ITIL or GDP processes
  • Lead advanced support of key systems, conduct troubleshooting, and collaborate with technical specialists
  • Share learnings across the organization

Qualifications

  • Bachelor’s Degree in Computer Science, Information Systems, or related field; post-graduate degree or equivalent experience preferred
  • Minimum of five (5) years’ experience in software development, preferably with AI systems, including generative models and deep learning; consulting experience is a plus
  • Proficient in AWS technologies such as EC2, S3, RDS, VPC, IAM, and permissions; expert in Python/JavaScript; familiarity with OOP principles
  • Strong understanding of data structures, algorithms, and software engineering principles
  • Basic knowledge of database management and SQL (PostgreSQL preferred)
  • Experience with CI/CD, DevOps, and tools like Gitlab
  • Basic proficiency with Linux systems and network troubleshooting is preferred
  • Delivery experience in the pharmaceutical industry strongly preferred
  • Excellent communication skills and ability to interact with diverse groups
  • Self-starter with multitasking ability and stakeholder management skills
  • Ability to work a weekly hybrid schedule in Waltham

Travel Requirements

  • Occasional business travel expected

About Us

Alkermes applies its deep neuroscience expertise to develop medicines for psychiatric and neurological disorders. We are committed to science, compassion, and making a real impact in patients’ lives. We foster a culture of diversity, inclusion, and belonging, and have received numerous recognitions as an employer of choice.

Alkermes is an equal opportunity employer and complies with all applicable laws and regulations.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering and Information Technology

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AI Engineer (Hybrid) employer: Alkermes

Alkermes is an exceptional employer that prioritises innovation and collaboration, making it an ideal place for an AI Engineer to thrive. Located in Waltham, the company offers a hybrid work schedule, fostering a flexible work-life balance while providing ample opportunities for professional growth and development within a supportive and inclusive culture. With a commitment to science and compassion, Alkermes not only values its employees but also empowers them to make a meaningful impact in the lives of patients.
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Contact Detail:

Alkermes Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer (Hybrid)

✨Tip Number 1

Familiarise yourself with the specific AI technologies mentioned in the job description, such as generative AI models and cloud computing platforms like AWS. This will not only help you understand the role better but also allow you to speak confidently about your experience during interviews.

✨Tip Number 2

Network with current or former employees of Alkermes on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during the interview process.

✨Tip Number 3

Prepare to discuss your experience with agile methodologies and how you've applied them in past projects. Being able to demonstrate your understanding of these processes will show that you're a good fit for their collaborative work environment.

✨Tip Number 4

Highlight any experience you have in the pharmaceutical industry, as this is strongly preferred for the role. If you don't have direct experience, consider discussing relevant projects or skills that could translate well into this sector.

We think you need these skills to ace AI Engineer (Hybrid)

Generative AI Models
Deep Learning
Python Programming
JavaScript Programming
AWS Technologies (EC2, S3, RDS, VPC, IAM)
Data Structures and Algorithms
Software Engineering Principles
SQL (PostgreSQL preferred)
CI/CD and DevOps Practices
Git and Version Control
Linux Systems Proficiency
Network Troubleshooting
Agile Methodology
Software Development Life Cycle (SDLC)
Documentation Skills
Stakeholder Management
Problem-Solving Skills
Communication Skills
Multitasking Ability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in AI software development, particularly with generative models and cloud computing platforms. Use keywords from the job description to align your skills with what Alkermes is looking for.

Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with Alkermes' mission. Mention specific projects or experiences that demonstrate your programming skills and ability to collaborate with diverse teams.

Showcase Technical Skills: Clearly outline your proficiency in programming languages like Python and JavaScript, as well as your experience with AWS technologies. Providing examples of past projects where you utilised these skills can strengthen your application.

Highlight Soft Skills: Alkermes values excellent communication and stakeholder management skills. Include examples of how you've successfully worked with cross-functional teams and managed relationships in previous roles to showcase your interpersonal abilities.

How to prepare for a job interview at Alkermes

✨Showcase Your Technical Skills

Be prepared to discuss your experience with programming languages like Python and JavaScript, as well as your familiarity with AWS technologies. Highlight specific projects where you've implemented generative AI models or worked with data pipelines.

✨Demonstrate Collaboration Experience

Since the role involves working closely with various stakeholders, share examples of how you've successfully collaborated with data scientists, architects, and business stakeholders in previous roles. Emphasise your ability to build effective relationships.

✨Understand Agile Methodologies

Familiarise yourself with agile methodologies and be ready to discuss how you've applied them in past projects. Mention any experience you have with SDLC and how it has contributed to successful project delivery.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills and ability to manage system changes. Think of examples where you've introduced best practices or process improvements in your previous roles.

AI Engineer (Hybrid)
Alkermes
A
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