AI Specialist / AI Specialist Programmer

# AI Specialist Programmer

## About the Role

Infosys is seeking a highly skilled, adaptable, and forward-thinking **AI Specialist Programmer** to contribute to next-generation artificial intelligence solutions within a global digital services and consulting environment. This role is ideal for a strong software engineer and AI practitioner who is comfortable working across multiple technologies, programming languages, frameworks, and complex engineering environments.

The AI Specialist Programmer will help design, develop, fine-tune, deploy, and support generative AI models and AI-enabled applications. This role requires hands-on experience with large language models, model development workflows, software engineering best practices, data pipelines, cloud platforms, and responsible AI principles.

The ideal candidate is a polyglot engineer who can move quickly across technologies, collaborate with data scientists and software engineers, and help deliver reliable, scalable, and business-focused AI solutions for enterprise clients. This person should be comfortable working in fast-paced projects where technical complexity, client needs, architecture decisions, and delivery timelines must be balanced effectively.

## Key Responsibilities

* Design, develop, test, and deploy generative AI models, applications, and AI-powered solutions.
* Fine-tune pre-trained large language models to support business-specific use cases, domain requirements, and client needs.
* Build AI-enabled software features that use LLMs, machine learning models, APIs, data pipelines, and enterprise systems.
* Manage and support the AI development lifecycle from experimentation and prototyping through deployment, monitoring, and continuous improvement.
* Collaborate with data scientists, machine learning engineers, software engineers, architects, product teams, and client stakeholders.
* Develop model integration workflows using APIs, orchestration frameworks, prompt pipelines, structured outputs, and backend services.
* Support data preparation, feature engineering, model evaluation, prompt design, and performance optimization.
* Build scalable, secure, and maintainable AI solutions using cloud platforms, containerized services, databases, and modern software development practices.
* Evaluate AI model performance, accuracy, consistency, reliability, latency, cost, and business usefulness.
* Implement testing and validation methods for AI outputs, including quality checks, edge-case testing, bias review, hallucination mitigation, and output consistency.
* Contribute to responsible AI development practices, including fairness, transparency, privacy, security, explainability, and appropriate model usage.
* Work across multiple programming languages, frameworks, and technology stacks depending on project requirements.
* Participate in architecture discussions, code reviews, design reviews, technical planning, and implementation decisions.
* Troubleshoot complex technical issues across AI workflows, model behavior, data pipelines, backend services, APIs, and deployment environments.
* Document technical architecture, model choices, implementation details, testing methods, prompts, assumptions, risks, and operational processes.
* Stay current with emerging AI models, generative AI frameworks, LLM capabilities, engineering patterns, responsible AI practices, and enterprise AI trends.

## Required Qualifications

* Strong software engineering experience with the ability to build reliable, scalable, and maintainable systems.
* Hands-on experience with artificial intelligence, machine learning, generative AI, large language models, or AI-assisted software development.
* Experience designing, developing, fine-tuning, or deploying AI models or AI-powered applications.
* Strong programming ability in one or more languages such as Python, Java, JavaScript, TypeScript, C++, Go, Scala, or similar technologies.
* Ability to work across multiple technology stacks and adapt quickly to new tools, frameworks, and client environments.
* Experience with APIs, databases, structured data, cloud services, backend development, and software integration.
* Understanding of LLM concepts, prompt design, model evaluation, embeddings, fine-tuning, and model deployment.
* Experience collaborating with data scientists, software engineers, architects, and cross-functional teams.
* Strong problem-solving skills and ability to work through complex technical challenges.
* Ability to write clean, tested, documented, and production-ready code.
* Strong communication skills and ability to explain technical concepts, tradeoffs, and recommendations clearly.
* Ability to work in a fast-paced consulting or enterprise delivery environment.

## Preferred Qualifications

* Experience with OpenAI, Anthropic, Google Gemini, Azure AI, AWS Bedrock, Hugging Face, Cohere, Mistral, Meta Llama, or similar model platforms.
* Experience with generative AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, Haystack, CrewAI, AutoGen, or similar tools.
* Familiarity with vector databases, embeddings, retrieval-augmented generation, semantic search, hybrid search, or knowledge retrieval systems.
* Experience with model fine-tuning, transfer learning, prompt tuning, evaluation pipelines, or model comparison.
* Experience with MLOps or LLMOps practices, including model versioning, deployment, monitoring, testing, and lifecycle management.
* Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
* Familiarity with Docker, Kubernetes, CI/CD pipelines, microservices, serverless functions, and production monitoring.
* Experience with data engineering tools, ETL pipelines, SQL, NoSQL, Spark, Kafka, or large-scale data processing.
* Understanding of responsible AI, privacy, security, governance, model risk, and ethical AI practices.
* Experience working in global consulting, enterprise technology, digital transformation, or complex client delivery environments.
* Bachelor’s or master’s degree in computer science, data science, artificial intelligence, machine learning, engineering, mathematics, or a related field.

## Ideal Candidate Profile

The ideal candidate is a strong engineer who is both technically deep and highly adaptable. This person can work across programming languages, frameworks, cloud environments, and AI platforms while maintaining strong engineering standards.

They should understand that successful AI solutions require more than model access. They require clean data, strong architecture, careful testing, responsible design, reliable integrations, and ongoing monitoring. The right candidate will be comfortable experimenting with new AI capabilities while also building systems that can perform reliably in production.

This person should be curious, practical, and collaborative. They should be able to work with data scientists on model behavior, software engineers on integration, architects on system design, and business stakeholders on use-case requirements. They should enjoy solving complex problems and helping clients turn AI possibilities into working solutions.

## Work Environment

This role operates within a global digital services and consulting environment and may involve supporting enterprise clients across industries. The AI Specialist Programmer should be comfortable working on fast-paced, complex engineering projects with distributed teams, evolving requirements, and high expectations for delivery quality.

The position may involve collaboration with global teams, client stakeholders, engineering leads, data science teams, and platform teams. The successful candidate should be self-directed, adaptable, and able to manage technical complexity while contributing to high-quality AI solution delivery.

## Compensation and Benefits

Compensation will be based on experience, qualifications, location, and overall fit for the role. Benefits may include:

* Competitive salary
* Full-time employment
* Health, dental, and vision benefits
* Paid time off
* Retirement plan options
* Professional development opportunities
* Training in emerging AI and cloud technologies
* Opportunity to work on next-generation AI solutions
* Opportunity to contribute to global digital transformation initiatives
* Collaborative, technology-focused work environment

## Equal Opportunity Statement

Infosys is an equal opportunity employer and welcomes applicants from all backgrounds. Employment decisions are based on qualifications, experience, skills, and business needs. The company is committed to maintaining a respectful, inclusive, and collaborative work environment.