Responsibilities
- Customer Engagement: Collaborate deeply with clients to understand their strategic objectives, technical requirements, and operational constraints.
- Serve as a trusted advisor for AI strategy, guiding clients through the process of ideating and implementing generative and agentic AI solutions.
- Facilitate workshops and brainstorming sessions to identify high-value use cases for AI technologies.
- AI Solution Development: Design, prototype, and deploy AI-powered PoCs using generative models (e.g., GPT, DALL-E) and agentic systems tailored to specific client needs.
- Build end-to-end pipelines for deploying AI solutions on client infrastructure, ensuring scalability, security, and performance.
- Experiment with cutting-edge methods in natural language processing (NLP), computer vision, reinforcement learning, and multi-agent systems to deliver innovative solutions.
- Iterative Prototyping: Use an experiment-driven approach to rapidly test hypotheses and refine prototypes in collaboration with client teams.
- Develop reusable frameworks and tools to accelerate the deployment of generative AI solutions across diverse industries.
- Cross-Functional Collaboration: Work closely with Sales, Applied Research, Product Development, and Customer Success teams to ensure seamless project execution.
- Provide actionable feedback from customer engagements to inform the development of new AI capabilities.
- Knowledge Sharing: Document best practices and lessons learned from client projects to contribute to internal knowledge bases.
- Mentor junior engineers on the application of generative and agentic AI technologies in real-world scenarios.
Requirements
- Technical Expertise: Strong proficiency in programming languages such as Python or JavaScript, with experience in frameworks like TensorFlow or PyTorch.
- Hands-on experience with generative AI models (e.g., GPT-4/5), agentic systems, or reinforcement learning frameworks.
- Familiarity with deploying machine learning models in production environments using cloud platforms (e.g., AWS, Azure) or on-premise systems.
- Problem-Solving Ability: Proven ability to translate abstract business challenges into concrete technical solutions using generative AI.
- Strong analytical skills to evaluate model performance and optimize for specific use cases.
- Client-Facing Skills: Exceptional communication skills for explaining complex AI concepts to diverse stakeholders.
- Ability to build trust-based relationships with clients and navigate ambiguous problem domains collaboratively.
- Adaptability: Flexibility to work across industries such as healthcare, finance, defense, or retail while tailoring solutions to each domain.
- Willigness to travel or work on-site with clients as required.
- Bachelor's degree in computer science or related field or equivalent experience
- At least 3 years of experience in software engineering or applied machine learning roles.
- Passion for exploring the frontiers of generative and agentic AI technologies.
- Entrepreneurial mindset with a focus on delivering measurable business impact through innovative solutions.
- Commitment to continuous learning and staying at the forefront of AI advancements.
Nice to Have
- Direct experience working with customers on the development of AI-driven applications is highly desirable
Additional Information
- Willigness to travel or work on-site with clients as required.
