AI / Large Language Model Architect
| Company | Accenture |
|---|---|
| Location | Boston, MA, USA, Seattle, WA, USA, Houston, TX, USA, Des Moines, IA, USA, Nashville, TN, USA, San Francisco, CA, USA, Austin, TX, USA, Detroit, MI, USA, Cleveland, OH, USA, Bentonville, AR, USA, Los Angeles, CA, USA, Miami, FL, USA, Morristown, NJ, USA, Dallas, TX, USA, Raleigh, NC, USA, Philadelphia, PA, USA, Chicago, IL, USA, Charlotte, NC, USA, St. Louis, MO, USA, Arlington, VA, USA, Milwaukee, WI, USA, Carmel, IN, USA, Beaverton, OR, USA, Pittsburgh, PA, USA, Sacramento, CA, USA, Walnut Creek, CA, USA, Albany, NY, USA, Scottsdale, AZ, USA, Columbus, OH, USA, Hartford, CT, USA, Oklahoma City, OK, USA, New York, NY, USA, Minneapolis, MN, USA, Denver, CO, USA, Mountain View, CA, USA, Atlanta, GA, USA, San Diego, CA, USA, St. Petersburg, FL, USA, Cincinnati, OH, USA, Overland Park, KS, USA |
| Salary | $122700 – $338300 |
| Type | Full-Time |
| Degrees | Bachelor’s, Associate’s |
| Experience Level | Senior |
Requirements
- Minimum of 6 years in engineering and operationalizing machine learning, deep learning and NLP platforms, solutions and applications.
- Minimum of 6 years of experience in designing & deploying AI / ML solutions for large-scale production usage on at least one cloud service provider (e.g., AWS, Azure, GCP)
- Minimum of 1 year of experience in implementing large-scale Agentic AI / Generative AI solutions utilizing at least one cloud platform (e.g., AWS, Azure, GCP)
- Minimum of 1 year of experience architecting and operationalizing enterprise level Agentic AI platforms utilizing at least one cloud platform (e.g., AWS, Azure, GCP)
- Deep understanding of Agentic AI, Generative AI, Classical AI/ML technologies, frameworks, solution patterns, infrastructure
- Bachelor’s degree or equivalent work experience (minimum of 12 years), or an associate degree with a minimum of 6 years of equivalent work experience.
Responsibilities
- Architect and design enterprise-grade Agentic AI platforms for our clients and seamlessly integrating that into their existing data & ai landscape, develop implementation roadmap and plans
- Design full stack of reusable capabilities and service required in such an enterprise platform to build end-to-end Agentic AI applications, supporting functional use cases
- Perform architectural comparisons and make decisions about the right technologies and frameworks, spanning open source and commercials products, to be used for these capabilities
- Design solutions for operationalizing large-scale deployment, observability, governance and monitoring of AI agents in the enterprise
- Design technical solutions for management of Responsible AI and security control associated with AI agents; define and build relevant technical controls and measures
- Design reusable frameworks for tuning, evaluating and optimizing performance of AI agents
- Design reusable solutions and frameworks for foundation model customization lifecycle stages like evaluation, optimization, deployments
- Design testing frameworks for Agentic AI components and applications
- Design and enhance the secure data foundation required to operate Agentic AI solutions, seamlessly integrated into organization’s existing data landscape
- Guide and work closely with teams as the technical SME during implementation phase and ensure success by assisting in troubleshooting, reviews, problem resolution, workarounds
- Conduct architectural discussions and workshops with client’s technology and AI leaders about the applicable solutions and technologies
- Develop and provide cost estimates of different architectural options to clients and iterate different optimizations per client’s needs
- Demonstrate and establish technical value proposition of Accenture’s AI solutions and assets in a client landscape of technologies, where appropriate
- As a technical expert and pre-sales professional in this field, you will participate in and facilitate high-level client discussions and be able to influence executive decisions around design, architecture, operationalization, and delivery of complex Agentic AI solutions
- Collaboratively work with functional experts and business leaders for designing and operationalizing Agentic AI solutions
- Collaboratively work with pre-sales leads, mobilization leads, solution leads and delivery leads during a client engagement lifecycle
- Estimate cost of using LLMs in different forms for business use cases and the viability, develop cost models for different usage patterns
- Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the language model meets the needs and expectations of various stakeholders
- Create and maintain extensive set of blueprints covering runtime, security, devops, infrastructure architectures of Agentic AI platform and applications
- Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future development.
Preferred Qualifications
- Hands-on involvement with speech-to-text, text-to-speech, and chatbot technologies
- Experience with NVIDIA’s AI technologies and their application in creating solutions, as well as experience architecting and implementing Sovereign AI solutions.
- Experience with HPE PCAI or Dell AI Factory solutions