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Ai Accelerator Jobs (NOW HIRING)

AI Engineer

Seattle, WA · On-site

$108K - $131K/yr

Design, build, and maintain data pipelines that feed AI Accelerator projects, including ETL workflows, data transformations, and integration with internal and external APIs and data sources.

AI Engineer

Madison, NJ · On-site

$108K - $131K/yr

Design, build, and maintain data pipelines that feed AI Accelerator projects, including ETL workflows, data transformations, and integration with internal and external APIs and data sources.

AI Engineer

Princeton, NJ · On-site

$108K - $131K/yr

Design, build, and maintain data pipelines that feed AI Accelerator projects, including ETL workflows, data transformations, and integration with internal and external APIs and data sources.

OCI is looking for an AI Solutions Engineer that helps the Business Operations team transform manual processes into trusted, repeatable AI-assisted solutions. This role combines workflow architecture ...

AI Engineer

Cambridge, MA · On-site

$108K - $131K/yr

Design, build, and maintain data pipelines that feed AI Accelerator projects, including ETL workflows, data transformations, and integration with internal and external APIs and data sources.

OCI is looking for an AI Solutions Engineer that helps the Business Operations team transform manual processes into trusted, repeatable AI-assisted solutions. This role combines workflow architecture ...

We are looking for an accomplished hands-on technical leader and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI ...

We are seeking someone with embedded AI experience, particularly with GPUs or AI accelerators, and strong system solution knowledge for AI application deployment. You will be part of the Forge and AI ...

AI Core DV Engineer

Mountain View, CA · On-site

$47.50 - $54.25/hr

Work with chip-design and software teams driving DensityAI's AI accelerator program from first silicon through scale-out. What you'll do * Own verification of our AI compute core - tensor pipelines ...

Director Embedded AI Engineering

Atlanta, GA · On-site

$126K - $166K/yr

We are seeking someone with embedded AI experience, particularly with GPUs or AI accelerators, and strong system solution knowledge for AI application deployment. You will be part of the Forge and AI ...

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Ai Accelerator information

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$38K

$52.8K

$66.5K

How much do ai accelerator jobs pay per year?

As of Jun 29, 2026, the average yearly pay for ai accelerator in the United States is $52,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $59,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Accelerator, and why are they important?

To thrive as an AI Accelerator, you need a deep understanding of machine learning algorithms, computer architecture, and parallel computing, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with hardware description languages (HDLs), CUDA, TensorFlow, and specific AI accelerator platforms is typically required. Strong problem-solving abilities, collaboration, and adaptability are essential soft skills for navigating complex projects and interdisciplinary teams. These skills and qualities are crucial for designing, optimizing, and deploying high-performance AI systems that meet real-world demands.

What is the highest paid AI job?

The highest paid AI jobs typically include AI research directors, machine learning engineers, and AI solutions architects, with salaries often exceeding $150,000 annually. These roles require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, often combined with advanced degrees and leadership responsibilities.

Which 3 jobs will survive AI?

AI accelerators typically focus on roles that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, software developers, and skilled tradespeople. These jobs involve tasks that are difficult to automate fully and often require human judgment, adaptability, and interpersonal skills. Continuous learning and technical proficiency can enhance job security in these fields as AI advances.

How does an AI Accelerator typically collaborate with data scientists and engineering teams on AI projects?

AI Accelerators work closely with both data scientists and engineering teams to bridge the gap between model development and deployment. They often help optimize AI models for efficiency and scalability, ensuring they run effectively on various hardware platforms. Regular collaboration includes reviewing model architectures, suggesting improvements for speed and accuracy, and troubleshooting performance bottlenecks together. This cross-functional teamwork is essential for translating research breakthroughs into robust, real-world AI solutions.

What are AI Accelerators?

AI Accelerators are specialized hardware or software systems designed to optimize and speed up artificial intelligence (AI) and machine learning (ML) workloads. They process complex computations required by AI algorithms more efficiently than general-purpose CPUs, enabling faster training and inference for deep learning models. Common examples of AI accelerators include GPUs, TPUs, FPGAs, and dedicated AI chips. These technologies are widely used in data centers, edge devices, and consumer electronics to support applications like image recognition, natural language processing, and autonomous vehicles.

What does an AI accelerator do?

An AI accelerator is a professional who develops and optimizes hardware or software solutions to improve the performance of artificial intelligence models. They often work with machine learning frameworks, programming languages like Python, and specialized hardware such as GPUs or TPUs to enhance AI processing speed and efficiency.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles are usually found in large tech companies or specialized AI firms and may include bonuses, stock options, or other incentives that contribute to the total compensation.
More about Ai Accelerator jobs
What cities are hiring for Ai Accelerator jobs? Cities with the most Ai Accelerator job openings:
What states have the most Ai Accelerator jobs? States with the most job openings for Ai Accelerator jobs include:
Infographic showing various Ai Accelerator job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $52,811 per year, or $25.4 per hour.
Director, Principal AI Engineer

Director, Principal AI Engineer

Bristol Myers Squibb

Madison, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 hours ago


Bristol Myers Squibb rating

8.0

Company rating: 8.0 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

37th of 73 rated pharmaceutical


Job description

Working with Us
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.


Position Summary

As a Principal AI Engineer within Bristol Myers Squibb's AI Accelerator program, you will lead a small, cross-functional pod to design and deliver generative AI solutions that transform core business processes across Commercialization, R&D, Manufacturing, and Enabling Functions. You will act as a player-coach-spending roughly 60% of your time hands-on in technical architecture, system and solution design, and building cloud-native GenAI applications, and 40% leading and developing your team. You will own one to two 12-week Accelerator projects at a time, shaping project charters, guiding technical decisions, and delivering AI-powered solutions using modern LLM, ML, and Cloud services and coding agents. Partnering closely with business, product, and technology stakeholders, you will establish reusable patterns, promote responsible AI practices, and help transition successful proofs of concept for scale into impactful, enterprise-wide solutions.


Key Responsibilities

Lead AI Accelerator Projects

Own end-to-end delivery of 12-week AI Accelerator projects, from problem framing and solution design through experimentation and handover.

Shape use cases, scope, and success metrics in collaboration with business stakeholders, product owners, and the AI Accelerator Hub.

Manage trade-offs between experimentation and robustness to keep projects on track and outcome-focused.

Ensure smooth transition of successful POCs into Scale phase with functional IT and business teams.

People Management & Team Leadership

Lead a small, multi-disciplinary pod of frontend engineers, application/cloud engineers, data scientists, and data engineers.

Provide coaching, feedback, and technical mentoring to grow skills and foster a high-performing, inclusive culture.

Partner with talent acquisition to hire and onboard new team members; onboard and manage staff-augmentation resources, if needed.

Establish lightweight, effective ways of working aligned with agile delivery and rapid experimentation.

Hands-On GenAI Architecture & Delivery

Act as technical lead and architect for GenAI solutions, driving technical architecture, system design, and solution design for LLM-based applications and agentic systems.

Design and implement solutions involving, but not limited to, context engineering, MCP servers, structured and unstructured data retrieval and manipulation, vector search, and multi-modal inputs (text, tables, images).

Build and orchestrate agents and tools to integrate enterprise systems and workflows.

Use coding agents effectively (e.g., Claude Code, Codex/GitHub Copilot-style tools, Gemini CLI) to accelerate development while maintaining quality.

Cross-Functional Collaboration & Responsible AI

Partner with stakeholders across Commercialization, R&D, Manufacturing, and Enabling Functions.

Communicate progress, risks, and outcomes clearly to both technical teams and senior leadership.

Contribute to shared patterns, templates, and components for future accelerator projects.

Embed responsible AI practices, including basic safety, evaluation, and guardrail considerations in GenAI solutions.


Qualifications & Experience

  • Bachelor's degree in Engineering, Science, Business, or a related field.

  • 7+ years of experience in software engineering, data science, or related technology roles with increasing responsibility.

  • Proven track record designing and delivering GenAI and traditional software applications.

  • Deep expertise in Python; experience with TypeScript and modern frontend development (e.g., React).

  • Strong experience with MCP, context engineering, multi-modal GenAI inputs, and vector databases.

  • Hands-on experience with AWS; familiarity with Azure and/or GCP is a plus.

  • Practical experience with Azure OpenAI and AWS Bedrock

  • Effective use of coding agents (e.g., Claude Code, Codex, Gemini CLI).

  • Comfort with GitHub and DevOps practices

  • Experience with Databricks, Terraform/CloudFormation, MLOps, or app observability is a plus.

  • Knowledge of and experience in agile ways of working

  • Demonstrated people-management experience leading small engineering/data teams.

  • Excellent written and verbal communication skills across technical and executive audiences.

#LI-Hybrid

#AIEngineering

If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Compensation Overview:

Madison - Giralda - NJ - US: $193,040 - $233,913 Princeton - NJ - US: $193,040 - $233,913 Seattle - WA: $212,340 - $257,304

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:

  • Health Coverage: Medical, pharmacy, dental, and vision care.

  • Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).

  • Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

Work-life benefits include:

Paid Time Off

  • US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)

  • Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as "Transforming patients' lives through science ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information:https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1599022 : Director, Principal AI Engineer

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Bristol-Myers Squibb logo

About Bristol-Myers Squibb

Sourced by ZipRecruiter

Bristol-Myers Squibb is a world-renowned global Biopharmaceutical company headquartered in New York, NY, US. Established in 1887, the company has more than 130 years’ worth of history dedicated to discovering, developing, and delivering innovative medicines that help patients prevail over serious diseases. The company operates in the healthcare industry and thrives on providing a range of pharmaceutical products and services for various medical fields, like oncology, cardiovascular diseases, and immunoscience. Notably, Bristol-Myers Squibb is known for its commitment to relentless research and innovative drug development, which has led to breakthroughs like Opdivo, one of the first immunotherapies.

Industry

Scientific research and development services and pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US