Custom Software Engineer
Quick Summary
Design and evolve AI/ML architectures for classification, recommendation, prediction, and decision-support systems. Define model lifecycle strategies including training, evaluation, deployment,
15 years full time educationSummary: Lead the architecture and technical strategy for an AI-powered enterprise platform, driving innovation across machine learning, generative AI, data science,
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Generative AI
Good to have skills : Machine Learning (ML)
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Lead the architecture and technical strategy for an AI-powered enterprise platform, driving innovation across machine learning, generative AI, data science, and scalable cloud systems.
Roles & Responsibilities:
Design and evolve AI/ML architectures for classification, recommendation, prediction, and decision-support systems.
Define model lifecycle strategies including training, evaluation, deployment, monitoring, and continuous learning.
Architect GenAI solutions leveraging LLMs, RAG, vector databases, knowledge graphs, and AI agents.
Drive experimentation frameworks, confidence scoring, model calibration, and performance optimisation.
Build scalable data and MLOps platforms supporting large-scale AI workloads and real-time inference.
Partner with Data Scientists and Engineering teams to translate business problems into production-grade AI solutions.
Establish technical standards for AI governance, observability, reliability, explainability, and responsible AI practices.
Professional & Technical Skills:
Strong expertise in Machine Learning, Deep Learning, NLP, and Generative AI.
Hands-on experience with Python, PyTorch/TensorFlow, ML platforms, and cloud-native architectures (Azure/AWS/GCP).
Experience designing enterprise-scale AI products and deploying models into production.
Knowledge of RAG, AI agents, vector search, MLOps, and distributed systems architecture.
Additional Information:
Ideal Candidate: A technical leader who combines the depth of a Data Scientist, the vision of an AI Architect, and the pragmatism of a platform engineer to build scalable, intelligent products.
You will be working with a Trusted Tax Technology Leader, committed to delivering reliable and innovative solutions
15 years full time education
Visit us at www.accenture.com
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.
Location & Eligibility
Listing Details
- Posted
- September 21, 2026
- First seen
- September 26, 2026
- Last seen
- September 26, 2026
Posting Health
- Days active
- 1
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- September 28, 2026
Signal breakdown
Browse Similar Jobs
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.