Accenture

Accenture

Posted via Workday

AI / ML Engineer

Posted Sep 21, 2026

Role at a glance

Job function
AI & Data Machine Learning Engineering
Salary
Not Disclosed
Location
Hyderabad
Work arrangement
On-site
Employment
Full-time
Experience
Minimum 5 year(s) of experience is required
Education
15 years full time education

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Role Summary

AI-generated

The AI/ML Engineer develops production-ready applications and systems that use AI tools, cloud AI services, and GenAI models. The role supports an AI and orchestration team by building distributed, serverless, and cloud-native services for long-running claims-processing tasks, including prompt execution, state management, memory, checkpointing, and policy-driven routing.

What You'll Do

  • Design and scale distributed systems that handle long-running tasks across thousands of claims in parallel.
  • Build modular Python APIs and services that interface with external APIs, vector stores, and LLM APIs.
  • Use AWS Lambda, S3, API Gateway, and CloudWatch to build event-driven microservices.
  • Implement robust error handling, retry logic, and idempotency in execution paths.
  • Collaborate with the orchestration lead and AI team to support prompt execution, state management, memory, checkpointing, and...
  • Build observability through logging, tracing, and metrics collection in a serverless/cloud-native setup.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Machine Learning (ML); 5+ years Python development experience; deep understanding of asyncio, async/await, event loops, and cooperative multitasking; OOP principles, design patterns, and code modularity; distributed system design; REST APIs and JSON serialization; AWS Lambda, API Gateway, S3, and IAM; CI/CD pipelines, logging, and production debugging; degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; strong communication skills.

Required

  • Machine Learning (ML)
  • 5+ years Python development experience
  • asyncio, async/await, event loops, and cooperative multitasking in Python
  • OOP principles, design patterns, and code modularity
  • Distributed system design, including task partitioning, stateless vs stateful service patterns, concurrency vs parallelism, and...
  • REST APIs and JSON serialization
  • AWS Lambda, API Gateway, S3, and IAM
  • CI/CD pipelines, logging, and debugging in production-like environments

Preferred

  • A Ph.D. is highly desirable

Original job description

Content provided by the employer

Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Machine Learning (ML)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority.

Roles & Responsibilities:
- Design and scale distributed systems that handle long-running tasks across thousands of claims in parallel.
- Build modular Python APIs and services that interface with external APIs, vector stores, and LLM APIs.
- Use AWS services (Lambda, S3, API Gateway, CloudWatch) to build event-driven microservices.
- Ensure robust error handling, retry logic, and idempotency in execution paths.
- Collaborate with the orchestration lead and AI team to support prompt execution, state management, memory & checkpointing and policy-driven routing.
- Build for observability: logging, tracing, and metrics collection in a serverless/cloud-native setup.


Professional & Technical Skills:
- 5+ years Python development experience, in backend or systems engineering roles.
- Deep understanding of asyncio, async/await, event loops, and cooperative multitasking in Python.
- Strong grasp of OOP principles, design patterns, and code modularity (factories, dependency injection, etc.).
- Solid experience with distributed system design, including:
- Task partitioning
- Stateless vs stateful service patterns
- Concurrency vs parallelism
- Queue-based orchestration (e.g., using AWS SQS, Step Functions)
- Experience with REST APIs, JSON serialization, and building fault-tolerant cloud services.
- Experience with AWS Lambda, API Gateway, S3, and IAM.
- Skilled in CI/CD pipelines, logging (e.g., CloudWatch), and debugging in production-like environments.

Additional Information:
-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.
-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.

15 years full time education

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 www.accenture.com 

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, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Accenture

About the company

Accenture

Large Enterprise

Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.