Principal Forward Deployed Engineer

Systems Limited; Islamabad; On-site; PKR 3,500,000 - 5,000,000; Full time

Job summary

Systems Limited is seeking a senior technical leader to own end-to-end GenAI/agentic solutions from architecture through production go-live, on-site with clients in Islamabad.

You will integrate with enterprise systems, guide delivery pods, and ensure robust production quality, while collaborating with client teams and presales when needed.

Qualifications

• 10-15+ yrs shipping production software with GenAI/LLM/agentic build experience
• Full-stack range across GenAI application layer - orchestration, retrieval, integration, deployment
• Debugging across the stack: infra, application code, model behavior
• Experience integrating with enterprise systems (SSO, legacy APIs, data governance constraints)
• Working knowledge of major agentic/GenAI platforms likely in the client's environment - Microsoft Azure AI Foundry, AWS Bedrock/Strands Agents, and Google Vertex AI; comfortable with open-source alternatives (LangChain, LlamaIndex) as a good-to-have when the client has no platform preference
• Comfortable being the senior technical presence in the room with a client's engineering team
• Strong client-facing communication - explains technical tradeoffs under time pressure
• Track record of taking ambiguous, partially specified designs to a working production system
• Resilient under the pressure of on-site, client-facing delivery with visible deadlines
• Prior forward-deployed, startup, or embedded-consulting experience is a strong plus

Responsibilities

• Own end-to-end build of the GenAI/agentic solution from architecture through implementation
• Integrate the solution into the client's live environment - auth, data access, existing systems, legacy interfaces
• Adapt the build on-site as real usage surfaces edge cases the original design didn't anticipate
• Debug and resolve production issues directly within the client's infrastructure
• Set up monitoring and handoff documentation for the client's own team
• Serve as the primary technical point of contact for the client during delivery
• Head the delivery pod for GenAI/agentic engagements when appropriate
• Flex into presales support when pursuit volume outpaces Hub capacity
• Feed build learnings back into the practice's estimation and pattern library
• Manage client expectations under shifting scope or timeline pressure

Skills

GenAI/LLM development

Production software delivery

Full-stack GenAI orchestration

Enterprise system integration

Client-facing communication

On-site delivery experience

Debugging across stack

Startup/embedded consulting experience

Tools

LangChain

LlamaIndex

Azure AI Foundry

AWS Bedrock/Strands Agents

Vertex AI

Job description

ABOUT:

Build and ship the GenAI/agentic solution end-to-end - from PoC through production go-live.

KEY RESPONSIBILITIES

• Own end-to-end build of the GenAI/agentic solution once scoped - architecture through implementation
• Integrate the solution into the client's live environment - auth, data access, existing systems, legacy interfaces
• Adapt the build on-site as real usage surfaces edge cases the original design didn't anticipate
• Debug and resolve production issues directly within the client's infrastructure
• Set up monitoring and handoff documentation for the client's own team
• Serve as the primary technical point of contact for the client during delivery
• Head the delivery pod for GenAI/agentic engagements when appropriate
• Flex into presales support when pursuit volume outpaces Hub capacity
• Feed build learnings back into the practice's estimation and pattern library
• Manage client expectations under shifting scope or timeline pressure

REQUIREMENTS & SKILLS

• 10-15+ yrs shipping production software, with hands-on GenAI/LLM/agentic build experience
• Full-stack range across the GenAI application layer - orchestration, retrieval, integration, deployment
• Comfortable debugging across the stack: infra, application code, model behavior
• Experience integrating with enterprise systems (SSO, legacy APIs, data governance constraints)
• Working knowledge of major agentic/GenAI platforms likely in the client's environment - Microsoft Azure AI Foundry, AWS Bedrock/Strands Agents, and Google Vertex AI; comfortable with open-source alternatives (LangChain, LlamaIndex) as a good-to-have when the client has no platform preference
• Comfortable being the senior technical presence in the room with a client's engineering team
• Strong client-facing communication - explains technical tradeoffs under time pressure
• Track record of taking ambiguous, partially specified designs to a working production system
• Resilient under the pressure of on-site, client-facing delivery with visible deadlines
• Prior forward-deployed, startup, or embedded-consulting experience is a strong plus