Gen AI Lead Developer

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Role: Gen AI Lead Developer

Location: Bethesda, MD

Job Description

Primary Skills

Use ML, deep learning and Generative AI tools and other technologies to design, evangelize, and implement state-of-the-art solutions for complex & unique challenges using Gen AI

Define and implement best practices for building, testing, and deploying scalable AI solutions, with a focus on generative models and LLMs using hyperscaler provided models or open-source models.

Drive successful business outcomes by designing and building cloud hosted Generative AI solutions.

Hands on expertise with architecture large-scale data processing and modelling

Experienced in solution architecture for AI and strongly familiar with data architecture.

Interact with customers directly to understand the business problem, help and aid them in implementation of their ML/GAI ecosystem.

Key Responsibilities

Solution Design: Collaborate with clients and internal teams to understand business requirements, challenges, and opportunities. Design scalable and efficient AI solutions that align with client needs and strategic goals.

Technical Expertise: Serve as the subject matter expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains. Stay up to date with the latest advancements in AI and recommend suitable technologies for specific use cases.

Architecture Development: Develop high-level and detailed solution architectures for AI projects. Consider factors such as data integration, model deployment, scalability, security, and performance optimization.

Pre-Sales Support: Assist the sales team in pre-sales activities by providing technical expertise, participating in client meetings, and contributing to proposal development. Translate client requirements into feasible AI solutions.

Educate customers on the value proposition of GenAI and showcase the art of possible.

Stay at the forefront of AI technological advancements, especially in Generative AI and LLM, and assess their applicability to our business needs.

Collaborate with cross-functional teams, including data scientists, AI/ML & data engineers, and functional SMEs, to ensure seamless integration and alignment of AI solutions with business objectives.

Secondary Skills

Oversee the technical viability of the architecture of AI projects, ensuring optimal performance, scalability, and integration.

Develop architecture to ensure robust and secure data, AI pipelines and infrastructure to support AI model training and deployment.

Lead the evaluation of new AI tools, frameworks, and methodologies, advocating for the adoption of technologies that align with our strategic goals.

Experienced in at least one of the industry standard architecture frameworks

Strong familiarity with at least one business domain including reference architecture, business processes, key domain data subjects.

Additional Expectations Include

Lead efforts to define future state/emergent architectures and roadmaps including architecture standards, guidelines, and industry best practices

Collaborate with architects in BUs to ensure comprehensive and cohesive working solutions are developed across disciplines with Economic and technical value proposition.

Knowledge of Federated/Enterprise Security, Data Management and Governance

Ability to articulate pros & cons of "TO-BE" design/architecture decisions across a wide set of considerations and tradeoffs.

Good to have history of thought leadership in the industry (social presence/persona, speeches, book critic/books, papers, conference presentations, academic lectures/faculty, etc.)