Staff Software Engineer/ Solution Architect

Epiq; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Epiq seeks a Staff Software Engineer/ Solution Architect - AI Solutions to lead full stack development, data engineering, and AI implementation across enterprise applications. You will design scalable, secure architectures, mentor teams, and collaborate with data scientists and stakeholders to deploy AI‑powered solutions.

You will work with modern AI tooling, secure data pipelines, and evolving cloud platforms to deliver high‑impact outcomes.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related field.
• 12+ years of experience in Full Stack Software Development, Solution Design, Data Engineering, and AI/ML implementation.
• Strong hands‑on software engineering background with proven experience designing and developing enterprise‑scale applications.
• Demonstrated experience designing technical solutions and participating in architecture reviews, system design discussions, and technical decision‑making.
• Advanced proficiency in Python and Java with strong experience building APIs, services, and distributed systems.
• Hands‑on experience implementing and deploying Generative AI solutions in production environments.
• Strong understanding of LLMs, RAG architectures, Agentic AI, Prompt Engineering, MCP, A2A, and modern AI application development patterns.
• Experience working with NLP frameworks and machine learning libraries such as TensorFlow, PyTorch, scikit‑learn, or similar technologies.
• Experience with cloud platforms and services including Azure and/or AWS.
• Experience with DevOps tools and practices including CI/CD pipelines, Terraform, AKS, EKS, GitHub Actions, and containerized deployments.
• Experience building modern user interfaces using React, Bootstrap, and related frameworks.
• Familiarity with Azure DevOps, Jira, and modern software delivery practices.
• Experience working with Snowflake, Databricks, and modern data platforms.
• Strong understanding of Data Integration, ETL, Data Quality, Data Discovery, and enterprise data management concepts.
• Experience integrating third‑party and enterprise APIs.
• Familiarity with metadata management tools and data governance concepts.
• Strong analytical, problem‑solving, and troubleshooting skills.
• Excellent communication and stakeholder management skills with the ability to effectively engage clients, business stakeholders, leadership teams, and engineering organizations.

Responsibilities

• Partner with business and product stakeholders to understand requirements, design end‑to‑end solutions, and help Product Owners break down initiatives into actionable user stories and technical deliverables.
• Design and develop scalable, secure, and maintainable software solutions that can be integrated into existing products and strategic solution offerings.
• Actively contribute to software development, code reviews, technical design discussions, and architecture reviews.
• Drive solution design decisions while ensuring alignment with security, compliance, performance, and operational requirements.
• Leverage strong analytical and problem‑solving skills to understand complex business challenges and develop innovative AI‑powered solutions.
• Champion engineering best practices, coding standards, testing strategies, and quality metrics across development teams.
• Integrate and optimize data from various internal and external systems, understanding the challenges associated with enterprise data integration across SaaS applications.
• Design, develop, and maintain APIs, services, and integrations that support enterprise applications and AI solutions.
• Evaluate and adopt emerging technologies to improve scalability, maintainability, performance, and reliability of applications and AI systems.
• Collaborate with data engineers and data scientists to ensure data quality, availability, and successful deployment of AI and machine learning capabilities.
• Design, implement, and maintain data pipelines, processing frameworks, and supporting infrastructure required for AI and machine learning workloads.
• Build and deploy AI‑powered applications utilizing Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), Agentic AI frameworks, and modern AI orchestration patterns.
• Apply prompt engineering techniques and AI best practices to improve the quality, relevance, and reliability of generative AI solutions.
• Communicate technical solutions, risks, and recommendations effectively to leadership, business stakeholders, and clients.
• Stay current with advancements in software engineering, AI, machine learning, and cloud technologies, recommending practical innovations for our products and operations.
• Provide technical leadership, mentor team members, resolve complex technical challenges, and foster a collaborative engineering culture.

Skills

Python & Java

API design

AI/ML implementation

LLMs/RAG

Data engineering

Cloud platforms

React UI

DevOps pipelines

Architecture reviews

NLP frameworks

Education

Bachelor's or Master's in CS

Tools

Azure

AWS

GitHub Actions

Terraform

AKS

EKS

Databricks

Snowflake

Job description

At Epiq, your work contributes to complex, global legal outcomes. You’ll join a values‑driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprise‑wide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that’s recognized externally. Enabled by modern platforms and AI, you’ll do the most meaningful work of your career and see your impact at scale.

Summary

We are seeking a highly skilled Staff Software Engineer/ Solution Architect - AI Solutions with strong expertise in Full Stack Software Development, Solution Design, Data Engineering, and AI/ML implementation.

This is a hands‑on engineering role for an experienced software developer who combines strong technical design skills with recent experience building and deploying AI‑powered applications. The ideal candidate will be responsible for designing scalable solutions, contributing to software development, and implementing modern AI capabilities that align with our product and solution offerings.

As a Staff Software Engineer/ Solution Architect, you will work closely with business stakeholders, Product Owners, leadership teams, clients, data scientists, consultants, DevOps engineers, and software engineers to design, build, and maintain enterprise‑grade applications and AI‑driven solutions. You will play a key role in translating complex business problems into scalable technical solutions while ensuring engineering excellence, maintainability, and long‑term product success.

Job Responsibilities

• Partner with business and product stakeholders to understand requirements, design end‑to‑end solutions, and help Product Owners break down initiatives into actionable user stories and technical deliverables.
• Design and develop scalable, secure, and maintainable software solutions that can be integrated into existing products and strategic solution offerings.
• Actively contribute to software development, code reviews, technical design discussions, and architecture reviews.
• Drive solution design decisions while ensuring alignment with security, compliance, performance, and operational requirements.
• Leverage strong analytical and problem‑solving skills to understand complex business challenges and develop innovative AI‑powered solutions.
• Champion engineering best practices, coding standards, testing strategies, and quality metrics across development teams.
• Integrate and optimize data from various internal and external systems, understanding the challenges associated with enterprise data integration across SaaS applications.
• Design, develop, and maintain APIs, services, and integrations that support enterprise applications and AI solutions.
• Evaluate and adopt emerging technologies to improve scalability, maintainability, performance, and reliability of applications and AI systems.
• Collaborate with data engineers and data scientists to ensure data quality, availability, and successful deployment of AI and machine learning capabilities.
• Design, implement, and maintain data pipelines, processing frameworks, and supporting infrastructure required for AI and machine learning workloads.
• Build and deploy AI‑powered applications utilizing Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), Agentic AI frameworks, and modern AI orchestration patterns.
• Apply prompt engineering techniques and AI best practices to improve the quality, relevance, and reliability of generative AI solutions.
• Communicate technical solutions, risks, and recommendations effectively to leadership, business stakeholders, and clients.
• Stay current with advancements in software engineering, AI, machine learning, and cloud technologies, recommending practical innovations for our products and operations.
• Provide technical leadership, mentor team members, resolve complex technical challenges, and foster a collaborative engineering culture.

Requirements / Skills

• Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related field.
• 12+ years of experience in Full Stack Software Development, Solution Design, Data Engineering, and AI/ML implementation.
• Strong hands‑on software engineering background with proven experience designing and developing enterprise‑scale applications.
• Demonstrated experience designing technical solutions and participating in architecture reviews, system design discussions, and technical decision‑making.
• Advanced proficiency in Python and Java with strong experience building APIs, services, and distributed systems.
• Hands‑on experience implementing and deploying Generative AI solutions in production environments.
• Strong understanding of LLMs, RAG architectures, Agentic AI, Prompt Engineering, MCP, A2A, and modern AI application development patterns.
• Experience working with NLP frameworks and machine learning libraries such as TensorFlow, PyTorch, scikit‑learn, or similar technologies.
• Experience with cloud platforms and services including Azure and/or AWS.
• Experience with DevOps tools and practices including CI/CD pipelines, Terraform, AKS, EKS, GitHub Actions, and containerized deployments.
• Experience building modern user interfaces using React, Bootstrap, and related frameworks.
• Familiarity with Azure DevOps, Jira, and modern software delivery practices.
• Experience working with Snowflake, Databricks, and modern data platforms.
• Strong understanding of Data Integration, ETL, Data Quality, Data Discovery, and enterprise data management concepts.
• Experience integrating third‑party and enterprise APIs.
• Familiarity with metadata management tools and data governance concepts.
• Strong analytical, problem‑solving, and troubleshooting skills.
• Excellent communication and stakeholder management skills with the ability to effectively engage clients, business stakeholders, leadership teams, and engineering organizations.

Your specific salary will be determined based on several factors:

• Location‑based market rate for the role
• Your abilities in relation to the job specification
• Performance during screening and interview
• Pay parity with the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Epiq Leadership Compass

Fosters Relationships & Collaboration

Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.

• Build trust‑based partnerships
• Nurture long‑term relationships
• Remove collaboration barriers
• Celebrate cross‑team success

Engages & Influences

Inspires action and alignment through clear communication, purposeful influence, and a compelling vision.

• Use storytelling to build buy‑in
• Align communication with organizational goals
• Guild alignment through strong engagement

Maximizes Performance

Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq’s goals.

• Use data to identify improvement opportunities
• Make informed decisions
• Align team goals with boarder strategy
• Empower teams to manage their own goals
• Translate vision into clear priorities
• Prepare for disruptions with strong change management

Achieves Operational Success

Drives continuous improvement and operational excellence through smart processes, data insights, and quality execution.

• Improve workflows for team efficiency
• Use clear documentation and expectations
• Resolve issues quickly using data and feedback

It is Epiq’s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq’s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.