Custom Software Engineer

Custom Software Engineer

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: Machine Learning

Good to have skills: NA

Minimum 5 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary: As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day will involve collaborating with team members to perform maintenance and enhancements, ensuring that the applications meet the evolving needs of users while adhering to best practices in software development.

Roles & Responsibilities:

• AI Engineer enables trusted, enterprise-ready adoption of AI at Fidelity International.
• This role focuses on consuming, integrating, and operationalizing advanced AI models—from Large Language Models (LLMs) to Small Language Models (SLMs) - into secure, governed, and scalable business solutions.
• Governance by Design: enforce data-handling policies in code (prompt redaction middleware, retrieval allow-lists, per-use-case policies).
• Prompt/Agent CI/CD: add evaluation gates (answer quality, safety) to pipelines; canary deploys with feature flags; automated rollback on drift.
• Model Lifecycle: manage SLM/LoRA fine-tuning with consented datasets, synthetic augmentation policies, and model registry entries w/ lineage.
• Observability: implement tracing (e.g., request ? retrieved docs ? model output ? tool calls), latency & cost SLOs; alerts on hallucination/safety incidents.
• Provider Abstraction: wrap OpenAI/Gemini/Azure OpenAI/Vertex behind an interface; capture provider/region, model/version, and quota routing.
• RAG Ops: schedule index rebuilds, freshness windows, incremental sync, and search quality dashboards with regression alerts.
• Develop APIs and microservices to integrate AI with internal/external applications
• Partner with business stakeholders to identify and validate use cases

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Machine Learning.
• Strong understanding of various machine learning algorithms and their applications.
• Experience with data preprocessing techniques to prepare datasets for analysis.
• Familiarity with programming languages such as Python or R for implementing machine learning models.
• Ability to evaluate model performance and optimize algorithms for better accuracy.

Additional Information:

The candidate should have minimum 5 years of experience in Machine Learning. This position is based at our Bengaluru office. A 15 years full time education is required.

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.

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.