Architect - AppDev

Job Summary:

• We are seeking a visionary and hands-on Senior AI Technical Lead to spearhead our Generative AI initiatives
• focusing on conversational bot development, prompt engineering, and scalable AI solutions. This role demands
• deep technical expertise, strategic thinking, and the ability to lead and mentor a high-performing team in a
• fast-paced, innovation-driven environment.
• You will be at the forefront of designing and deploying cutting-edge GenAI systems that redefine how users
• interact with intelligent agents.

What Will You Do:

Ai &Amp; Genai:

• Design and implement scalable GenAI architectures for conversational bots and intelligent agents
• Define the workflows for agent and conversational bots to solve various business problems
• Architect solutions for multi-modal AI (text, image, voice) and retrieval-augmented generation (RAG)
• Integrate the bots with various channel, including, WhatzApp, Instagram, websites, mobile, etc

Prompt Engineering &Amp; Optimization:

• Develop and refine advanced prompt strategies for LLMs to ensure high-quality, context-aware responses for bots and agents
• Build reusable prompt libraries and frameworks for internal use
• Evaluate prompt performance using metrics like coherence, relevance, and factuality

Architecture &Amp; Patterns

• Understand multilayered application architecture, micro-services, APIs and Kubernetes
• Understand integration with multiple channels and communication platforms, for example, WhatzApp, Instagram, Facebook
• Prior experience working on integration platforms, session management, data integration challenges, etc
• Understand concepts around performance optimization across devices
• Understand the overall release process and support teams in building a seamless release process.

Technical Leadership

• Lead a team of 10 - 12 engineers, data scientists, and designers through agile development cycles
• Drive technical roadmap, sprint planning, and code reviews
• Foster a culture of innovation, experimentation, and continuous learning
• Ability to drive delivery of applications working collaboratively with various stakeholders

Training And Evaluation

• Work with various stakeholders to identify the data, versions, and ingestion of data into RAG
• Create automation pipelines to process data for ingestion into RAG databases
• Work on migration of data, validation, security and encryption

Stakeholder Collaboration

• Work closely with product managers, UX designers & business leaders to align AI capabilities with user needs
• Translate business requirements into technical specifications and deliverables

What Will You Bring:

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field
• 8–10 years of experience in AI/ML development, with at least 2–3 years in GenAI or LLM-based

• Systems

• Proficiency in Python, LangChain, Hugging Face Transformers
• Understanding of bot frameworks such as RASA, BotPress or similar open or closed source

• Frameworks

• Deep understanding of NLP, LLMs, embeddings, vector databases
• Experience with cloud platforms (Azure) and containerization (Docker, Kubernetes)
• Strong understanding of programming languages, such as python

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

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