HOW YOU'LL MAKE AN IMPACT
USGBC and GBCI are expanding the use of Artificial Intelligence across internal operations, certification workflows, digital customer experiences, and enterprise data intelligence. As a Senior AI Platform Developer, you will design, build, and operationalize AI-powered applications that support both staff and customers.
This role combines hands-on AI engineering with web application development and platform operations. You will work closely with digital, product, data, and business teams to implement AI initiatives, including certification-review assistant tools, conversational data-insight tools, customer-facing guidance systems, and knowledge intelligence platforms.
The role will help establish the technical foundation for scalable, secure, and responsible AI adoption across the organization while enabling teams to integrate AI capabilities into web platforms and digital products.
This position is based in India and is remote.
Key Responsibilities
- Design and develop AI-powered applications supporting internal staff and external customers.
- Build web applications, chatbots, and conversational interfaces that leverage large language models and AI services.
- Develop conversational AI systems using LLM architectures and retrieval-augmented generation (RAG).
- Build and maintain APIs and microservices that enable AI capabilities across digital platforms.
- Develop AI-powered chatbots and assistants to support initiatives such as certification-review tools, customer guidance systems, and conversational analytics.
- Integrate AI solutions with enterprise platforms, including Snowflake, Salesforce, Power BI, Drupal, and other internal systems.
- Design knowledge ingestion and retrieval pipelines using embeddings, vector search, and semantic retrieval techniques.
- Operationalize AI systems with monitoring, logging, evaluation frameworks, and cost optimization.
- Coordinate closely with other developers, architects, product owners, and business stakeholders to deliver AI initiatives.
- Collaborate with cross-functional teams to identify high-impact AI use cases and deliver scalable production solutions.
- Ensure responsible AI practices, including citation grounding, security, governance, and data protection.
REQUIRED QUALIFICATIONS
Experience
- 6-10+ years of software engineering, platform development, or web application development experience.
- 3+ years working with AI/ML or LLM-based systems.
- Hands-on experience building AI applications and chatbots using AWS services, particularly Amazon Bedrock.
- Experience building web applications or conversational interfaces integrating AI capabilities.
- Experience integrating foundation models such as Anthropic Claude or similar models into production workflows.
- Experience implementing retrieval-augmented generation (RAG) or semantic search systems.
- Experience building APIs, microservices, and backend services supporting AI-powered applications.
- Experience working collaboratively within engineering teams to deliver complex technical initiatives.
- Experience integrating AI solutions with enterprise systems and data platforms.
Education
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (or equivalent experience).
Technology/System(s)
- AWS services include Amazon Bedrock, Lambda, S3, API Gateway, Step Functions, DynamoDB, and OpenSearch.
- Programming languages such as Python, Node.js, or similar backend technologies.
- Experience building AI-driven web interfaces using frameworks such as React, Streamlit, or similar.
- Vector databases and embedding pipelines for semantic search.
- Data platforms such as Snowflake.
- API and microservices architecture.
- Git-based development workflows.
Skills
- Strong system design and problem-solving abilities.
- Ability to translate business problems into scalable AI solutions.
- Experience building production-ready AI systems and web applications.
- Strong collaboration and communication skills.
- Ability to coordinate technical work across teams and initiatives.
- Curiosity and adaptability with rapidly evolving AI technologies.
Language
ABOUT OUR TOTAL REWARDS PACKAGE
Salary
Final compensation and benefits will be confirmed at the time of offer and may vary based on factors such as internal equity, relevant experience, qualifications, and employment status. Please note that salary negotiations will not extend beyond the top of the internal salary range.
LOGISTICS
Location: This position is remote in India
Work Schedule: Monday to Friday from 9:00 AM to 5:30 PM; You must be available during U.S. business hours for team meetings
