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AI​/Language Model Architect

Job in Detroit, Wayne County, Michigan, 48228, USA
Listing for: Accenture
Full Time position
Listed on 2026-02-07
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: AI / Large Language Model Architect

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Join to apply for the AI / Large Language Model Architect role at Accenture

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 Large Language Model Architect, 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:

  • 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…
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