Project Role : Custom Software Engineer
Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work.
Must have skills : Machine Learning (ML)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Software Development Engineer, your typical day will involve analyzing, designing, coding, and testing various components of application code for multiple clients. You will engage in maintenance and enhancement tasks, ensuring that the applications function optimally and meet client requirements. Collaboration with team members will be essential as you contribute to the development process and address any challenges that arise.
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. (Complements existing RAG, cloud, CI/CD, fintech content.)
- 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 / Artificial Intelligence
- Strong understanding of various machine learning algorithms and their applications.
- Experience with data preprocessing and feature engineering techniques.
- Familiarity with programming languages such as Python or R.
- Knowledge of software development methodologies and version control systems.
Additional Information:
- The candidate should have minimum 3 years of experience
- This position is based at our Gurugram office.
- A 15 years full time education is required15 years full time education
Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work.
Must have skills : Machine Learning (ML)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Software Development Engineer, your typical day will involve analyzing, designing, coding, and testing various components of application code for multiple clients. You will engage in maintenance and enhancement tasks, ensuring that the applications function optimally and meet client requirements. Collaboration with team members will be essential as you contribute to the development process and address any challenges that arise.
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. (Complements existing RAG, cloud, CI/CD, fintech content.)
- 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 / Artificial Intelligence
- Strong understanding of various machine learning algorithms and their applications.
- Experience with data preprocessing and feature engineering techniques.
- Familiarity with programming languages such as Python or R.
- Knowledge of software development methodologies and version control systems.
Additional Information:
- The candidate should have minimum 3 years of experience
- This position is based at our Gurugram office.
- A 15 years full time education is required15 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
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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.