Princ Engr-Software Devt

Overview

Visionary technology leader who will champion the integration of Generative AI technologies into projects, driving innovation, enhancing product offerings, and creating efficient solutions aligned with strategic goals.

What you'll do

• Design and operationalize GenAI-powered agents, LLMs, RAG, and multi-agent frameworks that function as digital workers, automating complex decision-making for CPQ (Configure, Price, Quote), ordering, orchestration, inventory, and service assurance.
• Analyze enterprise workflows to define operational logic, boundary conditions, and guardrails for agents deployed on the AI platform, ensuring high reusability and fast speed-to-value.
• Integrate state-of-the-art foundation models (OpenAI, Anthropic, open-source via Hugging Face/vLLM) while managing model routing, latency budgets, token cost optimization, and semantic caching.
• Establish MLOps/LLMOps pipelines featuring real-time model monitoring, fine-tuning, safety guardrails, automated CI/CD deployments, and evaluation pipelines (e.g., LangSmith, Phoenix) to guarantee output quality, security, and compliance.
• Oversee the architectural blueprint for web applications, microservices, and event-driven asynchronous pipelines across frontend, backend, and cloud environments.
• Architect dynamic, real-time user interfaces capable of streaming response handling (Server-Sent Events / WebSockets) and dynamic AI UI components.
• Build robust, highly concurrent, low-latency APIs (REST, GraphQL, gRPC) and microservice layers powering critical enterprise workflows.
• Build and scale data analytics and real-time streaming pipelines across cloud environments (AWS, GCP) to handle high-throughput customer, partner, and employee transactions.
• Architect hybrid data persistence frameworks combining relational databases (PostgreSQL, MySQL), NoSQL platforms (MongoDB, DynamoDB), and high-precision vector databases (Pinecone, Qdrant, Milvus, pgvector).
• Design data ingestion, chunking, and embedding workflows to transform unstructured organizational knowledge into high-precision search platforms.
• Set technical roadmaps, architectural standards, API contracts, and design patterns across global engineering squads.
• Partner closely with Product Management, Partner Solutions, Public Sector, and Technology Transformation teams to translate complex customer RFPs, migrations, and product goals into engineering blueprints.
• Direct software execution across hybrid onshore, offshore, and vendor IT teams using Agile and DevOps methodologies to maximize engineering velocity and throughput.
• Lead technical reviews and demos with stakeholders to validate feature alignment against policy and operational constraints, rapidly integrating user feedback into system specs.
• Lead the technology charter for development, engineering and solutioning using the latest technology stack, infusing AI into product development.
• Champion the adoption of Generative AI technologies across the organization.
• Identify emerging trends and opportunities in AI and propose innovative solutions.
• Conduct workshops and training sessions to educate team members on Generative AI technologies and best practices.
• Establish metrics to evaluate the performance and effectiveness of AI solutions, and continuously assess and optimize AI models and algorithms for better accuracy and efficiency.
• Ensure that AI implementations adhere to ethical standards and regulatory requirements, and advocate for responsible AI practices within the organization.
• Develop highly-available applications and service stacks in production environments.
• Provide architectural oversight for systems and services.
• Promote, implement, and educate about Agile software development.
• Stay updated with industry trends, emerging technologies, and best practices to drive continuous improvement.
• Collaborate with cross-functional teams to ensure alignment of development efforts with business objectives.
• Bring in new ideas towards unlocking the unarticulated needs of customers in the Digital channels, infusing AI.
• Deliver on the AGILE KPIs and drive incremental improvements on quality, supply demand capacity, on-time completion of milestones and positive business outcomes.

What you'll need

• Bachelor's degree or four or more years of work experience.
• Six or more years of relevant work experience.
• Proven experience as an AI architect or similar role, with a focus on Generative AI.
• Proficiency in programming languages (Python, Java, etc.).
• Experience with cloud platforms (AWS, Azure, Google Cloud) and AI services.
• Software development experience in a diverse set of areas including scalable web applications.
• Experience in Java/J2EE application development, including experience leading a technical team in such web technologies.
• Experience in a DevOps software development environment.
• Experience migrating web applications to Cloud (AWS, Oracle Cloud or Cloud Foundry etc.).
• Knowledge and experience of Docker/Container technologies.
• Exceptional communication and collaboration skills.
• Strong problem-solving abilities and a proactive mindset.
• Ability to lead and inspire teams in a fast-paced environment.
• Strong background in machine learning, deep learning, and AI frameworks (e.g., TensorFlow, PyTorch).

Nice to have

• A degree in computer science or computer engineering.
• Evaluate and choose appropriate technologies, design patterns, and algorithms for the development of robust and scalable software solutions.
• Innovation mindset.
• Strong problem solving and analytical skills, including ability to assimilate data from varied sources, apply deductive reasoning and scientific method, make inferences, draw testable conclusions, and resolve problems.
• Experience in virtualization and cloud platforms.
• Experience in building large scale systems-management, network monitoring systems, and monitoring applications.
• Ability to handle teams from multiple locations and working in an onshore/offshore model.
• Ability to modify existing software to correct errors, to adapt it to new hardware, or to upgrade interfaces and improve performance.
• Ability to develop or direct software system testing or validation procedures.

Details

• Hybrid role: defined work location that includes work from home and assigned office days set by your manager.
• Scheduled weekly hours: 40.
• Location: Hyderabad, India.