Provides engineering and R&D services across various industries with cutting-edge solutions.
o Enable agent-driven workflows that streamline engineering processes across software, hardware, and mechanical domains.
o Stay informed about latest AI trends, frameworks, and technologies to guide strategic adoption.
o Deploy and manage AI solutions on AWS, ensuring scalability, security, and cost optimization.
o Collaborate with engineering teams to design MCP-based integrations for internal tools.
o Work closely with multidisciplinary teams in a global environment.
o Implement containerization, orchestration, and serverless architectures for AI workloads.
o Assess and recommend commercial AI tools for engineering use cases.
o Apply LLMOps best practices for lifecycle management of large language models, including CI/CD pipelines, monitoring, and governance.
o Develop and execute testing strategies for AI applications to ensure reliability, accuracy, and compliance.
o Design, develop, and deploy AI-driven solutions for engineering applications using frameworks such as LangGraph or similar.
o Integrate AI capabilities into internal engineering tools to enhance productivity and automation.
o Produce clear technical documentation and contribute to knowledge-sharing initiatives.
The expected salary range for this position is between $66,500 to $1,26,000 annually. The actual salary may vary based upon several factors including, but not limited to, relevant skills/experience, time in role, base salary of internal peers, prior performance, business line, and geographic/office location.
Paid Leave, Health Insurance, Group life insurance, Disability, 401(K)