# Lead Software Engineer - AI Solutions **Company**: Epiq **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Technology **Apply**: https://epiqsystems.wd503.myworkdayjobs.com/en-US/Epiq_Careers/job/IND-Hyderabad-Sohini-Tech-Park-3rd-Floor-Financial-District/Lead-Software-Engineer_R0035231?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_07217664-217 ## Description We are seeking a highly skilled Lead Software Engineer - AI Solutions with strong expertise in Full Stack Software Development, Solution Design, Cloud Engineering, Data Engineering, and AI application development. This is a hands-on technical leadership role for an experienced engineer who combines deep software engineering expertise with the ability to lead the design and delivery of scalable, enterprise-grade solutions. **Key Responsibilities** - Lead the design, development, and delivery of scalable enterprise applications, APIs, and services. - Drive technical solution design and contribute to architectural decisions across products and platforms. - Collaborate with Product Owners and stakeholders to translate business requirements into scalable technical solutions. - Provide technical leadership and guidance to engineering teams throughout the software development lifecycle. - Lead design reviews, code reviews, and technical discussions to ensure engineering quality and consistency. - Design and implement microservices, integrations, reusable frameworks, and cloud-native applications. - Ensure software solutions meet security, compliance, performance, scalability, and reliability requirements. - Partner with DevOps teams to implement CI/CD pipelines, deployment automation, observability, and operational best practices. - Drive continuous improvement initiatives related to software architecture, development standards, testing, and operational excellence. - Mentor and coach Associate and Senior Software Engineers while fostering a culture of collaboration, innovation, and engineering excellence. - Evaluate emerging technologies and recommend improvements that enhance product capabilities and development efficiency. - Act as the primary technical point of contact for delivery teams and provide guidance for resolving complex technical challenges. **AI Responsibilities** - Lead the design and implementation of AI-powered applications and intelligent automation solutions. - Design scalable Retrieval-Augmented Generation (RAG) architectures and enterprise knowledge retrieval solutions. - Build and deploy AI-enabled services leveraging Large Language Models (LLMs), vector databases, and AI orchestration frameworks. - Define engineering standards and best practices for Generative AI development across teams. - Guide the implementation of prompt engineering strategies, evaluation frameworks, and AI observability practices. - Collaborate with architects, data engineers, and business stakeholders to identify and prioritize AI use cases. - Evaluate emerging AI technologies, frameworks, and tools, recommending practical adoption strategies. - Design integrations between AI platforms, enterprise systems, APIs, and data sources. - Ensure AI solutions align with security, compliance, responsible AI, and data governance requirements. - Mentor engineering teams on AI development patterns, framework selection, and implementation best practices. - Drive the adoption of reusable AI accelerators, agent workflows, and scalable AI engineering patterns. **Requirements / Skills** - Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related field. - 8-12 years of professional software engineering experience. - Strong hands-on experience developing and delivering enterprise-scale applications using Python and/or Java. - Proven experience designing distributed systems, APIs, microservices, and cloud-native architectures. - Strong experience building modern web applications using React or similar front-end frameworks. - Solid understanding of enterprise integration patterns, software architecture principles, and system design methodologies. - Experience working with Microsoft Azure (preferred) and/or AWS cloud platforms. - Strong experience with DevOps practices including CI/CD pipelines, containerization, Kubernetes, Infrastructure as Code, and deployment automation. - Familiarity with Azure DevOps, GitHub Actions, Terraform, and modern software delivery practices. - Experience working with relational databases, NoSQL databases, and enterprise data platforms. - Strong analytical, troubleshooting, and problem-solving abilities. - Excellent communication and stakeholder management skills with the ability to engage effectively with technical and non-technical audiences. - Demonstrated experience mentoring engineers and leading technical initiatives. **Preferred AI Skills & Experience** - Hands-on experience designing and deploying Generative AI solutions in production environments. - Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and AI orchestration patterns. - Experience working with frameworks such as LangChain, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, or similar technologies. - Experience integrating solutions using Azure OpenAI, Azure AI Foundry, AWS Bedrock, Anthropic, OpenAI APIs, or equivalent AI platforms. - Experience with vector databases, embeddings, semantic search, knowledge retrieval systems, and AI evaluation frameworks. - Understanding of prompt engineering, model evaluation, AI observability, and performance optimization techniques. - Familiarity with emerging AI interoperability standards such as MCP (Model Context Protocol) and agent communication patterns. - Experience building AI-enabled workflows, intelligent automation solutions, and enterprise AI integrations. - Exposure to Snowflake, Databricks, modern data engineering platforms, and AI/ML infrastructure is highly desirable. ## Skills ### Required - Python - Java - React - Microsoft Azure - AWS - DevOps - Kubernetes - Terraform - GitHub Actions - Azure DevOps ### Nice to have - Generative AI - Large Language Models (LLMs) - Retrieval-Augmented Generation (RAG) - Agentic AI - LangChain - Semantic Kernel - LlamaIndex - AutoGen - CrewAI - Azure OpenAI - Azure AI Foundry - AWS Bedrock - Anthropic - OpenAI APIs - vector databases - embeddings - semantic search - knowledge retrieval systems - AI evaluation frameworks --- Source: [Apply at epiqsystems.wd503.myworkdayjobs.com](https://epiqsystems.wd503.myworkdayjobs.com/en-US/Epiq_Careers/job/IND-Hyderabad-Sohini-Tech-Park-3rd-Floor-Financial-District/Lead-Software-Engineer_R0035231?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)