Generative AI / Python Technical Architect

BCI has the following new position open with our direct client in Jersey City, NJ. Position will be a 6-month contract to start and withe future extensions. Possible contract to hire. Role will be hybrid with the need to be in the office 1 day a week is mandatory. We are looking for a Sr. Technical Lead / Architect with strong GenAI implementation in PROD. Can only work on a w2 / 1099 basis. No C2C or subcontractors. Must be a US Citizen / GC or Perm Resident. You'll have the opportunity to work in a collaborative, supportive environment that allows you to grow your skills and your career while building experience in a variety of different projects and domains. Your expertise in GenAI will be needed to help create original content—such as text, images, video, audio or software code—in response to a user’s prompt or request. You'll work in an Agile software development environment supporting requirements/story development, software architecture and design, software development, and unit/component testing. Qualifications: • 10+ years of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Generative AI, AI/ML, ML Ops. • Strong experience with GenAI implementations in PROD – not looking for just POC experience. • Experience with Semantic search - not looking for just chatbot experience • A minimum of 3-5 years of experience in AI/ML, with a focus on generative models. • 1+ years of experience architecting / leading high-impact GenAI solutions for diverse projects. • A minimum of 3 -5 years of hands-on experience using Python. • Design, develop, and optimize generative AI models to meet specific project requirements. • Proven experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Generative AI, AI/ML, ML Ops. • Lead the implementation of GenAI solutions, ensuring they are scalable, efficient, and secure. • Work closely with onshore and offshore teams, including engineers, and product managers, to integrate AI solutions into various applications. • Oversee the end-to-end lifecycle of AI projects, from initial concept through to deployment and maintenance. • Stay current with the latest advancements in AI and machine learning and apply this knowledge to enhance our AI solutions. • Create detailed documentation for AI models and systems, including design specifications, implementation guides, and user manuals. • Provide guidance and mentorship to junior developers and team members on best practices in GenAI development. • Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. • Statistics and Machine Learning models, deep learning models, natural language processing (NLP), Generative Adversarial Networks (GAN), and other generative models. • Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases. • Employ technical knowledge and hands-on experience with Anthropic Claude, Llama models, and other AWS LLM foundational models, BERT, Transformers, etc. • Proficiency in programming languages such as Python, TensorFlow, PyTorch, and other AI frameworks. • Demonstrated experience in successfully implementing AI projects in real-world settings. • Experience in leading the end-to-end lifecycle of GenAI projects, from conception to deployment • Strong analytical and problem-solving skills, with a keen attention to detail and a passion for continuous improvement. • Ability to work in a fast-paced, dynamic environment and adapt to changing project requirements. • Experience in unit testing, integration testing, and test automation frameworks (e.g., pytest). • Experience with cloud platforms and services (e.g., AWS). • Experience REST API libraries and frameworks such as Fastapi. • Knowledge of version control systems (e.g., Git) and collaborative development workflows (e.g., GitHub, GitLab). • Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team environment and communicate technical concepts to non-technical stakeholders. • Familiar with Design Patterns • Mentor junior data scientists and GenAI engineers, fostering professional growth within the team. Preferred Skills: • Experience with deploying and managing AI models at scale. • Experience in leading the end-to-end lifecycle of GenAI projects, from conception to deployment. • Strong analytical and problem-solving skills, with the ability to think critically and creatively. • Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. • Proven leadership abilities, with experience leading and mentoring technical teams. • Demonstrates sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution. • Exhibits strong teamwork, consistently performing as a dependable team member with an excellent work ethic. • Maintains a flexible “can-do” attitude and a commitment to success. • Undergraduate or Graduate degree preferred.