Forward Deployed Engineer

Delta System & Software, Inc.; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Delta System & Software, Inc. is seeking an experienced AI Solution Engineer to drive idea-to-production AI initiatives across hybrid environments. You will lead the design and delivery of agentic AI solutions, integrating enterprise AI platforms, LLMs, and governance frameworks.

The role emphasizes end-to-end ownership, scalable architectures, and collaboration with security and governance teams. You will orchestrate multi-agent workflows, leverage frontier models, and build AI-enabled

Qualifications

• Strong knowledge of AWS, Bedrock and Java.
• Experience delivering AI-enabled agentic solutions.
• Ability to design end-to-end enterprise AI solutions.
• Experience with security, governance and compliance.

Responsibilities

• Lead idea to production solution delivery from prototype to production rollout.
• Design and implement agentic workflows and multi-agent systems.
• Develop AI-first engineering and tooling, including AI-assisted development workflows and CI/CD pipelines.
• Ensure governance, security, and regulatory alignment across platforms.

Skills

AWS

Bedrock

Java

AI design

Systems thinking

Security & governance

Tools

Enterprise AI platforms

CI/CD pipelines

DevSecOps tools

Job description

Location: Hybrid Onsite locations (NY/ NJ/ Delaware/ Colombus/ Plano/ Houston / Chicago) - 2-3 Days Onsite

Job Summary

• Strong knowledge of AWS, Bedrock and Java is mandatory, Client operates primarily on AWS and Java, this is a key requirement.

Key Responsibilities

Idea to Production Solution Delivery

• Partner with business stakeholders to understand problem statements, workflows, and desired outcomes
• Convert business intent into AI enabled solution designs, agent workflows, and system architectures
• Own end to end delivery: prototype → MVP → production rollout
• Deploying enterprise complex systems integrations while solving critical business problems
• Drive rapid iteration while maintaining enterprise grade quality, security, and reliability

Agentic AI Solution Engineering

• Design and implement agentic workflows using enterprise agentic AI platforms
• Orchestrate multi agent systems that handle reasoning, planning, execution, validation, and monitoring
• Encode business logic, SOPs, policies, and controls into autonomous or semi autonomous agents
• Apply human in the loop, guardrails, and fallback mechanisms where required
• Work with frontier foundation models (LLMs, multimodal models) and enterprise approved model stacks
• Prompt design and prompt chaining
• Tool grounding and retrieval augmented generation (RAG)
• Knowledge graph and memory integration
• Optimize solutions for accuracy, latency, cost, and reliability

AI First Engineering & Developer Tooling

• Leverage AI assisted development tools to accelerate delivery:
• Cursor
• AI assisted testing, code review, and refactoring tools
• Establish AI augmented engineering workflows across design, build, test, and release phases
• Coach teams on effective human AI collaboration in engineering
• Design and implement intelligent CI/CD pipelines integrating:
• AI generated code and test artifacts
• Policy and control validation
• Automated security and compliance checks
• Integrate agentic workflows into DevSecOps / MLOps pipelines
• Ensure repeatable, auditable, and scalable deployments across environments

Enterprise Readiness & Governance Alignment

• Ensure solutions comply with:
• Security, privacy, and data handling policies
• Model risk management and AI governance frameworks
• Regulatory and audit requirements (especially in regulated industries)
• Collaborate with platform, security, and governance teams to operationalize guardrails
• Contribute patterns, blueprints, and reusable assets to the enterprise AI platform
• Act as a trusted technical advisor to customers and internal stakeholders
• Present architectures, demos, and outcomes to engineering leaders, business heads, and executives
• Gather feedback from production usage and continuously improve solutions
• Serve as the "voice of the customer" back into platform and product teams