Forward Deployed AI Engineer

Open Systems Technologies; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

Open Systems Technologies seeks an experienced AI Solutions Architect in New York to translate business challenges into measurable AI use cases and shape both long-term vision and MVPs. You will design, code, and deploy Generative AI solutions, AI agents, and automated workflows, while ensuring governance, security, and scalable production readiness across enterprise APIs and databases.

Collaborating with software teams, you will establish metrics for model performance and business impact,

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• 5+ years in software engineering or solution architecture with shipping end-to-end products.
• Experience with AI/ML models, AI agents, or workflow orchestration.

Responsibilities

• Partner with stakeholders to identify operational friction and translate business challenges into AI use cases.
• Define long-term technical visions and MVPs to validate value quickly.
• Design, code, and deploy Generative AI solutions, AI agents, and automated workflows.
• Implement human-in-the-loop mechanisms, governance, and security for enterprise use.
• Collaborate with software teams to scale prototypes into production-ready systems.
• Leverage coding agents and modern AI-driven development workflows to accelerate delivery.
• Establish frameworks to measure model performance, UX, latency, cost, and impact.
• Communicate complex technical concepts to non-technical stakeholders and leadership.

Skills

End-to-end product shipping

Software engineering fluency

Systems analysis

Cross-functional influence

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

LangChain

Temporal

LangGraph

LlamaIndex

Job description

• Partner with stakeholders to identify operational friction, map complex systems, and translate business challenges into clear, measurable AI use cases.
• Define both long-term technical visions and immediate, high-impact MVPs to validate value quickly.
• Design, code, and deploy Generative AI solutions, AI agents, and automated workflows integrated with enterprise APIs, databases, and applications.
• Implement robust human-in-the-loop mechanisms, fallback controls, and enterprise-grade security and governance.
• Collaborate directly with software teams to scale prototypes into reliable, production-ready systems.
• Leverage coding agents and modern AI-driven development workflows (specification-driven development, context management) to accelerate delivery.
• Convert custom deployment patterns into reusable assets, reference architectures, and paved-road tools to inform the broader enterprise AI roadmap.
• Establish frameworks to measure model performance, UX, latency, cost, and business impact.
• Implement testing, monitoring, and controls to mitigate failure modes and comply with security, privacy, and responsible AI policies.
• Communicate complex technical concepts to non-technical stakeholders and executive leadership.
• Influence cross-functional decisions without direct authority and mentor partner teams through digital transformation.

Qualifications

• 5+ years in software engineering, solution architecture, or technical consulting with a track record of shipping end-to-end products.
• Fluency in software engineering (backend, web, mobile, distributed systems, or API/workflow orchestration) with practical experience using coding agents in structured workflows.
• Demonstrated capability to analyze end-to-end systems, articulate technical tradeoffs, and influence cross-functional decisions without direct authority.
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Preferred

• Experience building with LLMs, RAG, vector databases, tool calling, Model Context Protocols, or frameworks like LangGraph, LangChain, Temporal, or LlamaIndex.
• Hands-on experience with AI evaluation metrics, observability tools, and responsible AI safeguards (human-in-the-loop).
• Track record of driving technology adoption within financial services or other highly regulated industries.