Senior Forward Deployed Engineer
United In Diversity Academy · Central Region ·
- Work mode
- Onsite
- Seniority
- Senior
- Category
- Solutions engineering
- Experience
- 3+ years
United In Diversity Academy · Central Region ·
Job Description
As our Senior Forward Deployed AI Engineer, your main responsibilities will include:
• Architect and develop production AI / agentic systems optimized for business use cases, including agent infrastructure and integrations with client infrastructure
• Manage AI product development roadmap
• Rapid testing and evaluation of agentic systems, including reliability engineering, performance measurement and cost management
• Continuously interface with clients to understand areas for transformation and codesign AI and security best practices
Required experience and qualifications
o BS in Computer Science or closely-related field
o 3+ years of relevant industry experience or equivalent
o Direct experience shipping an AI or agentic AI system end-to-end to users, preferably owned or led the project
o Excellent communication skills, particularly in communicating technical concepts in an approachable way to clients
o Proficiency in Python
o Strong production maturity and system design skills
o Familiarity with agentic tooling and development, including Model Context Protocols (MCPs), agent skills, agent orchestration, Retrieval Augmented Generation (RAG), etc.
o Experience designing evals, observability and monitoring for AI, plus debugging failure modes in production
o Knowledge of enterprise security best practices to securely deploy AI and software
o Proficiency in building data pipelines and API integrations
o Familiarity with cloud platform (AWS (preferred)/Azure/GCP), infrastructure as code, containerization
o Passion for experimenting with AI models, open-source repos, etc.
o Knowledge of latest developments in AI capabilities and deployment strategies
Good to have
o MS or PhD in Computer Science or related field — or equivalent depth from industry
o 5+ years of relevant industry experience or equivalent
o Experience deploying AI in a specific vertical or business use case
o Ability to identify and articulate business value from AI deployments — including ROI framing, process mapping, and stakeholder alignment
o Familiarity with enterprise software ecosystems, including Oracle SAP, Microsoft, etc.
o Proficiency in additional languages, such as TypeScript, SQL, Java, Go
o Familiarity with data privacy practices for AI
o Experience with on-device or on-prem data management or AI deployment.
o Familiarity with ML frameworks such as PyTorch, TensorFlow, etc.