H1B Visa | Senior AI Solutions Developer, AI CoE at utherford, NJ; Hybrid; in office ; frequent

Position:
Senior AI Solutions Developer, AI CoE

Location:

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

Duration: 12+ months C2C

Only H1B Visa | Experience Level: 12 Years or above

Passport number must for the submission

• Software engineering fundamentals
• Python development
• API and system integration
• Data and SQL proficiency
• AI application development
• Agentic workflow development
• Workflow orchestration
• Secure enterprise integration
• Rapid prototyping
• Technical feasibility assessment
• Testing, evaluation, and observability
• Governance, risk, and compliance awareness
• Business and stakeholder collaboration
• Clear technical communication
• Strong execution and ownership

• 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 developing AI-enabled solutions.
• Strong problem-solving skills and the ability to work through ambiguity.
• Strong written and verbal communication skills.
• Ability to manage multiple priorities in a fast-paced environment.

• Experience in a forward-deployed engineering, solutions engineering, applied AIengineering, innovation lab, consulting engineering, or internal product/prototypedevelopment environment.
• Experience building or working with MCP servers, for example using FastMCP or similar tools.
• Experience with orchestration frameworks such as Lang Graph or similar tools.
• Experience with evaluation and observability platforms such as Lang Smith, Weights & Biases, or Open Telemetry-based tracing.
• Experience with retrieval patterns and working with structured and unstructured data.
• Familiarity with enterprise AI governance considerations, including privacy, security, data access, HITL design, and responsible use.
• Experience working with security, privacy, legal, architecture, data governance, or risk stakeholders.

• 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 workingprototype 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…