GenAI Platform Lead / Senior Python AI Engineer

We are seeking an GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI to join our team and lead the build-out of a next-generation GenAI platform. The ideal candidate will have strong experience in Python, modern microservices architectures, and AI solution delivery and a proven ability to design, implement, and scale resilient enterprise platforms that meet performance and regulatory requirements., * Design, develop, and oversee end-to-end implementation of the GM GenAI platform and related business use cases.

• Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability.
• Collaborate with business and IT stakeholders to understand and fulfill business needs and objectives.
• Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations.
• Identify, prioritize, and execute tasks across the software development life cycle.
• Establish standards and drive automation to improve end-to-end SDLC efficiency.
• Mentor team members in technical design and development best practices.
• Drive platform performance, scalability, and resiliency testing.
• Implement hardware upgrades and software enhancements to meet global performance expectations.
• Address regulatory and performance-driven requirements for regional and localized infrastructure and platform deployments.
• Conduct research and prototyping to identify solutions that enhance platform and team capabilities.
• Monitor AI industry trends and advancements in AI, machine learning, and data science to continuously improve solutions.

• 7+ years of Python development, including production-grade services and tooling.
• Experience implementing and integrating LLMs, including Retrieval Augmented Generation (RAG).
• FastAPI or similar Python web frameworks for building APIs and microservices.
• Extensive experience designing and implementing multi-tier and microservices application platforms.
• Proven ability to plan and lead delivery with functionally diverse and geographically dispersed teams.
• Track record of delivering projects on time and on budget.
• High proficiency in Unix scripting and automation for SDLC efficiencies.
• In-depth knowledge of relational databases such as Oracle or MySQL and NoSQL databases such as MongoDB, including processing large structured and unstructured datasets.
• Knowledge of front-end languages, libraries, and frameworks such as HTML, CSS, JavaScript, XML, React, and jQuery.
• Strong communication, critical thinking, and problem-solving skills.

Preferred Skills:

• Experience implementing data analytics and AI solutions in enterprise environments.
• Knowledge of TensorFlow or PyTorch, LLM fine-tuning, RAG patterns, and tools for agentic solutions.

• Start expectation: 2-4 weeks after offer. Candidates must be able to meet a defined start date. Please account for any potential visa-related delays before submission.
• Schedule: 8 hours per day. Labor Type: Technical.
• Assessment: GLIDER - BOA-AppProg-IV-V-3 may apply.

Why BCforward?

At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to:

• Competitive compensation and benefits.
• Opportunities for growth with global clients.
• A supportive, inclusive culture that values innovation and people.
• Exposure to cutting-edge technologies and projects.

BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.