Job Description Summary

The role involves designing, developing, and deploying AI agents and GenAI solutions to boost software engineering productivity. Key responsibilities include technical leadership, translating product requirements into AI solutions, developing AI architecture roadmaps, and integrating GenAI technologies. The role also focuses on process optimization, cross-functional collaboration, ensuring quality assurance, and facilitating knowledge transfer. Additionally, it requires applying AI/ML best practices, writing production-quality code, optimizing performance, work on advanced algorithms and agent architectures, and effectively communicating AI insights and improvements across teams.

Job Description

Roles and Responsibilities

In this role, you will:
• Be responsible for defining, developing, and evolving software in a fast paced and agile development environment using the latest software development technologies and infrastructure
• Provide technical leadership to an agile team of 5-7
• Work with Product Line Leaders (PLLs) to understand product requirements & vision
• Translate requirements / vision into prioritized list of user stories and deliver to required timelines and quality standards
• Work with product line leaders and architects to develop multi generation software technology plans
• Drive increased efficiency across the teams, eliminating duplication, leveraging product and technology reuse
• Support process improvements which guide the development, sustaining & support activities
• Work cross functionally with other business departments to align activities and deliverables
• Drive world-class quality in the development and support of products
• Ensure team receives consistent messages and has clear understanding of business direction, strategy and results
• Engage subject matter experts in successful transfer of complex domain knowledge
• Apply principles of SDLC and methodologies like Lean/Agile/XP, CI, Software and Product Security, Scalability, Documentation Practices, refactoring and Testing Techniques
• Write code that meets standards and delivers desired functionality using the technology selected for the project
• Understand performance parameters and assess application performance
• Work on core data structures and algorithms and implement them using technology chosen
• Proactively share information across the team, to the right audience with the appropriate level of detail and timeliness

Education Qualification

• Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with minimum years of experience 4 years

Desired Characteristics
• Master's Degree/ PHD in Computer Science
• Experience with Windows and Unix / Linux based programming
• Experience working on software projects in the Energy domain (Energy Management, Oil & Gas, Power & Water)
• Certified Scrum Master and/or Product Owner

Technical Expertise:

• Advanced Degree: Master's Degree/PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field
• GenAI Expertise: Extensive experience with Large Language Models (LLMs), prompt engineering, fine-tuning, and GenAI application development
• Agent Development: Proven experience building intelligent agents, multi-agent systems, and autonomous software development tools
• AI/ML Frameworks: Proficiency with modern AI/ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.)
• Enterprise Software: Experience integrating AI solutions into enterprise software products and development environments
• Cloud Platforms: Experience with cloud-based AI/ML services (AWS SageMaker, Azure ML, Google AI Platform)
• MLOps: Knowledge of ML pipeline development, model deployment, monitoring, and governance practices
• Software Engineering: Strong background in software development with experience in Windows and Unix/Linux environments
• Domain Knowledge: Experience working on AI solutions in enterprise software environments, preferably in Energy domain (Energy Management, Oil & Gas, Power & Water)
• Certifications: AI/ML certifications, Certified Scrum Master and/or Product Owner preferred

Business Acumen:

• Innovation Mindset: Demonstrates initiative to explore cutting-edge AI technologies and novel approaches to solving software engineering productivity challenges
• Problem Decomposition: Skilled in breaking down complex AI problems, defining success metrics, and estimating AI project efforts including model development and deployment
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