AI/ML Architect - Forward Deployed Engineer Associate Manager · Reinvention Centers

Accenture; Columbus (OH); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical coverage

401(k) plan

Paid time off

Bonus opportunities

Job summary

Accenture is looking for an AI/ML Architect to design and operationalize AI agents and ML solutions in hybrid environments. This position requires strong skills in AI/ML and experience with various AI platforms. Candidates will collaborate with clients to implement custom solutions and frameworks across multiple cloud providers.

The role consists of working in Dallas, TX, with flexibility for candidates in Columbus, OH, and other select locations. Competitive compensation and benefits offered.

Qualifications

• Minimum 4 years of experience in Python, Java, or equivalent.
• 3 years experience in designing Agentic AI and Generative AI solutions.
• Bachelor’s degree or equivalent work experience.

Responsibilities

• Design AI agents with lifecycle observability.
• Integrate AI agents with enterprise APIs and microservices.
• Train and deploy ML models using various platforms.

Skills

Python

Java

AI/ML solution design

Agentic AI solutions

Generative AI experience

Cloud technologies

Education

Bachelor’s degree or equivalent

Tools

PyTorch

TensorFlow

MLflow

SageMaker

Azure ML

Kubeflow

Job description

You Are:

An AI/ML Architect with strong engineering skills and expertise in LLM and agentic architectures. You design, build, and operationalize AI agents, data pipelines, and ML solutions that run reliably in regulated enterprise environments.

The Work:

You embed with clients to stand up custom AI agent frameworks across cloud providers (Amazon Bedrock AgentCore, Azure AI Foundry, Google Vertex AI Agent Builder) and the Anthropic Claude Agent SDK. You partner with stakeholders to define use cases, prototype agentic workflows, and ship production‑ready agents that operate reliably.

Responsibilities:

• Design AI agents with retrieval, orchestration, tool invocation, evaluation harnesses, and lifecycle observability.
• Build LLM and agentic systems with function‑calling, prompt engineering, and agent orchestration in production.
• Implement RAG patterns with vector databases (FAISS, Pinecone, Chroma, Milvus) and tune embeddings for retrieval quality.
• Train and deploy ML models with PyTorch, TensorFlow, MLflow, SageMaker, Azure ML, or Kubeflow.
• Stand up custom agent frameworks across providers (Amazon Bedrock AgentCore, Azure AI Foundry, Google Vertex AI Agent Builder, Anthropic Claude Agent SDK); design the supporting architecture for production.
• Integrate AI agents with enterprise APIs, microservices, and workflow systems; ship via CI/CD on Azure, AWS, or GCP. Apply Responsible AI controls (fairness, bias detection, safety filters) in regulated industries.

This is a hybrid role in Dallas, TX and requires 3 days per week in the office. May consider qualified applicants in Columbus, OH; Tampa, FL; Atlanta, GA; Houston, TX.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

Here’s What You Need:

• Minimum 4 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability.
• Minimum 3 years experience in designing and implementing scaled Agentic AI and Generative AI solutions that are in operations.
• Minimum 3 years experience in designing and implementing Agentic AI and Generative AI platforms and frameworks used by multiple AI solutions.
• Minimum 2 years experience in designing, engineering, and operationalizing large‑scale AI/ML solutions on at least one major public cloud, using cloud‑native AI services and frameworks, open‑source technologies, and 3rd party tools.
• Minimum 2 years of experience with key AI technologies from public cloud providers, open source, and 3rd party tooling.
• Minimum 2 years of hands‑on experience with AI platforms (OpenAI, Claude, Vertex AI, open‑source), agentic orchestration tools (LangGraph, CrewAI, AutoGen), and MLOps/LLMOps practices across the ML and LLM lifecycle.
• Bachelor’s degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

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.

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.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis protected by federal, state, or local law. Our rich diversity makes us more innovative, competitive, and creative, which helps us better serve our clients and our communities.

Accenture is an EEO and affirmative action employer of veterans/individuals with disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

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