Embedded AI transformation leader partnering with business units to identify opportunities, develop production-grade AI solutions, and mobilize teams to adopt new ways of working.
Responsible for designing, developing, testing, operating and maintaining products as a full‑stack engineer with Generative AI focus.
Compensation
Pay Range: $119,765.00 - $140,900.00
Responsibilities
Responsible for designing, developing, testing, operating and maintaining products
Takes full stack ownership by consistently writing production‑ready and testable code
Creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs
Performs analysis on failures, proposes design changes, and encourages operational improvements
Makes sound design/coding decisions keeping customer experience in the forefront
Lead the design, implementation, and delivery of enterprise-scale Generative AI and Agentic AI solutions, collaborating with stakeholders and offshore teams to ensure successful production adoption.
Compensation
Rate: $75/hr on W2
Responsibilities
Assess business processes, systems, and data landscapes to identify high-impact GenAI opportunities.
Design and own end-to-end AI solution architecture, including LLM selection, agent design, RAG frameworks, integrations, security, governance, and evaluation methodologies.
Lead hands‑on implementation efforts and establish engineering and prompt‑engineering best practices.
Collaborate with business, IT, security, and engineering teams to align objectives and manage delivery risks.
Drive successful deployment, adoption, and measurement of business outcomes through AI solutions.
An internship role focused on developing AI applications, agents, and workflows using a mix of low-code platforms and traditional coding to solve real business problems.
Responsibilities
System operations and project coordination
Business requirement management and project progress tracking
Low-code application daily maintenance and continuous optimization
AI Application and Prototype development using Low-code and Coding methods
Lead end-to-end architecture and implementation of enterprise-scale Generative AI and Agentic AI solutions, collaborating with stakeholders and offshore teams.
Responsibilities
Assess business processes, systems, and data landscapes to identify high-impact GenAI opportunities.
Design and own end-to-end AI solution architecture, including LLM selection, agent design, RAG frameworks, integrations, security, governance, and evaluation methodologies.
Lead hands-on implementation efforts and establish engineering and prompt-engineering best practices.
Collaborate with business, IT, security, and engineering teams to align objectives and manage delivery risks.
Drive successful deployment, adoption, and measurement of business outcomes through AI solutions.
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