Posted:
12/12/2024, 11:07:56 AM
Location(s):
Irving, Texas, United States ⋅ Florham Park, New Jersey, United States ⋅ Overland Park, Kansas, United States ⋅ Las Vegas, Nevada, United States ⋅ Arizona, United States ⋅ Connecticut, United States ⋅ Indiana, United States ⋅ Cleveland, Ohio, United States ⋅ Wisconsin, United States ⋅ Carmel, Indiana, United States ⋅ Sacramento, California, United States ⋅ Missouri, United States ⋅ Florida, United States ⋅ Pennsylvania, United States ⋅ Boston, Massachusetts, United States ⋅ Oklahoma, United States ⋅ Minnesota, United States ⋅ Livermore, California, United States ⋅ Columbus, Ohio, United States ⋅ Des Moines, Iowa, United States ⋅ New Jersey, United States ⋅ Oklahoma City, Oklahoma, United States ⋅ Kansas, United States ⋅ Miami, Florida, United States ⋅ Illinois, United States ⋅ Virginia, United States ⋅ Detroit, Michigan, United States ⋅ Seattle, Washington, United States ⋅ San Diego, California, United States ⋅ Colorado, United States ⋅ North Carolina, United States ⋅ San Francisco, California, United States ⋅ Texas, United States ⋅ Nevada, United States ⋅ New York, United States ⋅ Iowa, United States ⋅ Michigan, United States ⋅ California, United States ⋅ Hartford, Connecticut, United States ⋅ Milwaukee, Wisconsin, United States ⋅ Washington, United States ⋅ Massachusetts, United States ⋅ Ohio, United States ⋅ Scottsdale, Arizona, United States ⋅ Minneapolis, Minnesota, United States ⋅ Chicago, Illinois, United States ⋅ Philadelphia, Pennsylvania, United States ⋅ Houston, Texas, United States ⋅ Los Angeles, California, United States ⋅ Saint Petersburg, Florida, United States ⋅ Walnut Creek, California, United States ⋅ Charlotte, North Carolina, United States ⋅ Raleigh, North Carolina, United States ⋅ Cincinnati, Ohio, United States ⋅ Pittsburgh, Pennsylvania, United States ⋅ New York, New York, United States ⋅ St. Louis, Missouri, United States ⋅ Broomfield, Colorado, United States
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
AI & Machine Learning
We are:
Accenture’s Global Responsible AI team within the Global Data & AI Practice. AI is becoming more pervasive, more powerful and more accessible. With these new opportunities come increased risks. We work with leading organizations to ensure AI is designed, built and deployed in a manner that engenders trust and adheres to laws, regulations and ethical norms. Our Responsible AI strategy will enable us to embed responsibility into all of Accenture’s data and AI activities. We’re developing and deploying differentiated IP and Responsible AI solutions with our ecosystem partners. We’ll be engaging regulators to help shape the policy agenda, conducting pioneering research with academia and offer training and resources to our clients through the Responsible AI Academy. The risks of AI are real and well- known. Let’s help our clients turn those risks into opportunities.
You are:
We’re looking to grow our Responsible AI team and if you’re an experienced RAI Engineer with a Responsible AI background, we’d love to hear from you.
As a Responsible AI Engineer, you’ll be experienced in building state of the art models to solve difficult business challenges. But you’ll also have at least a year’s experience looking at responsible aspects such as AI model Fairness, Transparency, Explainability, Robustness, Soundness and Privacy – preferably gained in a client-facing environment.
You’ll be a problem solver who is passionate about all things data. You’ll be excited by difficult modelling challenges, and you’ll enjoy working with like-minded people who thrive on pushing the boundaries of the possible. You’ll be an outstanding technical specialist with the strong communication skills needed to liaise with your clients and your colleagues.
At the forefront of the industry, you’ll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises. We’re not just focused on increasing revenues – our technologies and innovations are making millions of lives easier and more comfortable. But above all, we’re doing this responsibly and inclusively – to make sure AI technology is used equitably and in a way that is both ethically and technically sound.
The work:
You’ll be a key player helping to deliver outstanding work for our Responsible AI clients. Some of the areas you’ll be working in include:
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
Here’s What You Need:
Minimum of 5 years of experience in developing and deploying machine learning models and AI solutions (using algorithms such as Regression, Neural Networks, Tree Ensembles, Deep Learning, Natural Language Processing, Text Mining, Computer Vision)
Minimum of 5 years of experience in developing in Python working in AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
Minimum of 4 years of experience with cloud services and platforms (e.g., AWS, Azure, Google Cloud) related to AI.
Minimum of 2 years of experience with Responsible AI (testing AI solutions for AI risks and relevant technical tools)
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)
Professional Skills Requirement:
Strong problem-solving and analytical skills.
Ability to work collaboratively in a team environment and communicate effectively with team members.
Commitment to ethical AI development and continuous learning in the field.
Ability to manage multiple projects and priorities in a fast-paced environment.
Excellent documentation and presentation skills for technical and non-technical audiences.
Bonus Points If You Have:
Knowledge in emerging data and AI regulations and standards
Experience using and building GenAI solutions (vie prompt engineering, RAG models, or fine tuning etc.)
Experience with designing and implementing GenAI/AI Solution Technical Architectures on cloud platforms
Experience with cybersecurity, red teaming practices, etc.
Specialization in an industry (Healthcare, Life Sciences, Communications, Retail, Financial services, etc.)
Cloud Certification from leading cloud providers (AWS, Google, Azure, Databricks, etc.)
Responsible AI certification from reputable organizations (AIPP, etc.)
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 in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here.
Role Location Annual Salary Range
California $73,800 to $220,400
Colorado $73,800 to $190,400
District of Columbia $78,500 to $202,700
Illinois $68,300 to $190,400
Minnesota $73,800 to $190,400
Maryland $68,300 to $176,300
New York $68,300 to $220,400
Washington $78,500 to $202,700
About Accenture
Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 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 www.accenture.com
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Headquarter Location: Dublin, Dublin, Ireland
Employee Count: 10001+
Year Founded: 1989
IPO Status: Public
Last Funding Type: Grant
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