C2C for Senior AI Solutions Developer, AI CoE @ Rutherford, NJ

Job Title:

Senior AI Solutions Developer,AI CoE

Location:

Rutherford, NJ (hybrid; three days in office per week; frequent travel to New York City office)

Need USC, H1B & H4 EAD only.

Linked In&Passport Number Must for Submission.

Need 12+ years profiles only.

• You are a hands-on developer with strong experience building AI-enabled applications, assistants, workflows, and integrations. You have strong software engineering fundamentals, deep Python experience, and the ability to connect systems, data, APIs, and services into practical working solutions.
• You are comfortable working directly with business stakeholders, application teams, and domain experts. You can move from an ambiguous business problem to a working prototype by understanding the workflow, systems, data, exceptions, and operational constraints involved.
• You bring an agile mindset to an enterprise environment. You are comfortable building quickly, learning through prototypes, documenting what works, and helping shape repeatable patterns for a growing AI Center of Excellence. You understand that successful AI solutions require not only strong engineering, but also practical governance, risk, security, data access, evaluation, and adoption considerations.

• Work directly with business teams, application teams, and domain experts to understand workflows, pain points, systems, data, exceptions, and operational constraints.
• Build rapid prototypes and proof-of-concepts for AI-enabled workflows, assistants, agents, automations, and features in close partnership with users and stakeholders, testing ideas against real business processes and enterprise environments.
• Rapidly validate what is technically feasible, what is operationally useful, and what should not move forward.
• Translate prototype learnings into solution recommendations, technical patterns, implementation considerations, and governance inputs for the AI CoE.
• Help move successful prototypes toward scalable delivery by partnering with application, architecture, data, security, and platform teams.

• Use Python, APIs, databases, and services to connect systems, data, documents, and workflows.
• Integrate with enterprise systems while following security, privacy, architecture, and technology standards.
• Work with authentication, authorization, secure data access, and permission aware integration patterns.
• Design solutions that are practical, maintainable, and appropriate for enterprise use.

• Work with LLM-based tools and platforms to build applications that support business workflows.
• Implement orchestration approaches for multi-step workflows, tool usage, and agentic patterns.
• Apply retrieval, structured data access, and workflow automation where appropriate.
• Build AI-enabled workflows that include appropriate human review, guardrails, error handling, and escalation paths.

• Support practical governance, risk, and compliance considerations based on lessons learned from AI prototypes and proof-of-concepts.
• Help identify common risks, controls, review points, and documentation needs for AI-enabled solutions.
• Partner with security, privacy, legal, data, architecture, and governance stakeholders to support responsible AI solution development.

• Implement logging, testing, monitoring, and basic observability for prototypes and workflows.
• Use evaluation and tracing tools to measure performance, identify failure modes, and improve solutions.
• Support structured testing and iteration of AI-enabled solutions with business users and technical stakeholders.
• Help define practical evaluation approaches for accuracy, usefulness, reliability, latency, cost, risk, and user experience.

• Bachelor’s degree or equivalent experience in Computer Science, Engineering, Information Systems, or a related field.
• 5 to 8 years of experience in software development, application development, systems engineering, or related engineering roles.
• Strong proficiency in Python.
• Strong experience with APIs, system integration, and service-based architectures.
• Solid knowledge of SQL and working with data in enterprise environments.
• Experience building AI-enabled applications, assistants, agents, automations, or workflows using modern LLM tools and platforms.
• Experience working directly with business stakeholders or end users to design, prototype, and iterate on software or AI-enabled solutions.
• Experience working with tool integration patterns, including exposing or consuming internal tools and services within application workflows.
• Understanding of orchestration approaches for multi-step workflows, tool usage, and agentic patterns.
• Experience implementing logging, testing, and basic observability.
• Understanding of authentication, authorization, secure data access, and enterprise integration considerations.
• Ability to identify practical risks, controls, dependencies, and trade-offs when…