Jobs

AI/ML Computational Science Manager

Accenture

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Location
Remote: United States
Track
AI Solutions Engineer
Level
Lead
Salary
$80K–$294K / yr
Posted
October 17, 2026
Source
Himalayas

Job description

We Are

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work.

With over 45,000 professionals dedicated to Data & AI, Accenture ’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are

As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions.

Position

Responsibilities

  • Collaborate with stakeholders to engineer innovative solutions for new system roll-outs, enhancements, and maintenance of existing applications, ensuring adherence to programming standards.
  • Develop system specifications, create test plans, and conduct project and issue management for the assigned scope of work.
  • Design/Build solutions using AI services and machine learning models to address unique use cases, employing cutting-edge techniques and methodologies.
  • Utilize machine learning and advanced AI techniques to extract valuable insights from complex datasets and solve intricate problems.
  • Deploy trained models into production environments, ensuring scalability, reliability, and optimal performance, while integrating seamlessly with existing systems and applications.
  • Design and implement agents and multi-agent architectures to optimize client workflows.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Job Qualifications Here’s what you need

  • Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
  • Minimum of 5 years of experience in machine learning, deep learning, or demonstrated proficiency in Natural Language Processing (NLP)
  • Minimum of 5 years of experience with AI/ML and cognitive services provided by at least one cloud service provider
  • Minimum of 1 year of experience designing, building, and/or implementing Agentic Architectures
  • Minimum of 1 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution
  • Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Bonus points if you have

  • Experience managing and leading Gen AI/Agentic delivery across enterprises
  • Deep industry expertise and experience designing industry-specific AI solutions
  • Experience with building out AI infrastructure and how to optimize/scale performance
  • Consulting/Advisory background with strong track record of continual experimentation with emergent tech

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted until 11/29/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $94,400 to $293,800

Colorado $94,400 to $253,800

Connecticut $94,400 to $253,800

District of Columbia $100,500 to $270,300

Illinois $87,400 to $253,800

Maine $80,400 to $216,200

Maryland $94,400 to $253,800

Massachusetts $94,400 to $270,300

Minnesota $94,400 to $253,800

New York $87,400 to $293,800

New Jersey $100,500 to $293,800

Ohio $87,400 to $235,000

Virginia $87,400 to $270,300

Washington $100,500 to $270,300

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our

Skills

  • AI ML Computational Science Manager
  • Machine Learning Engineering
  • AI
  • Data Science
  • AI Solutions Architecture
  • AI ML Engineering Manager
  • Machine Learning Manager
  • Data Science Manager
  • Senior Data Science Manager
  • Senior Data Science Management

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