What are the responsibilities and job description for the Forward Deployed Engineer (AI & Innovation) position at Kutir Inc?
Role Name: Forward Deployed Engineer (AI & Innovation)
Work site: East Rutherford, NJ (Onsite)
Hybrid Role 3 Days per Week In Office
Travel to New York City (NYC) required based on business needs, stakeholder workshops, solution deployments, and AI innovation initiatives.
Role Overview
We are seeking a highly motivated and hands-on **Forward Deployed Engineer (FDE)** to join our AI & Innovation team. This individual will operate at the intersection of business, AI research, and engineering, helping transform business problems into production-ready AI solutions.
Initially, the role will focus heavily on researching emerging AI technologies, evaluating platforms and frameworks, conducting technical feasibility assessments, and building Proof of Concepts (POCs). As AI opportunities are identified, the FDE will lead the development, integration, and deployment of AI use cases, working closely with Business Analysts, AI Architects, Data Scientists, and business stakeholders.
The ideal candidate combines software engineering expertise with strong problem-solving skills and a passion for rapidly prototyping and deploying AI-powered solutions.
We are seeking a highly motivated and hands-on **Forward Deployed Engineer (FDE)** to join our AI & Innovation team. This individual will operate at the intersection of business, AI research, and engineering, helping transform business problems into production-ready AI solutions.
Initially, the role will focus heavily on researching emerging AI technologies, evaluating platforms and frameworks, conducting technical feasibility assessments, and building Proof of Concepts (POCs). As AI opportunities are identified, the FDE will lead the development, integration, and deployment of AI use cases, working closely with Business Analysts, AI Architects, Data Scientists, and business stakeholders.
The ideal candidate combines software engineering expertise with strong problem-solving skills and a passion for rapidly prototyping and deploying AI-powered solutions.
Key Responsibilities
AI Research & Innovation
- Research emerging AI, Generative AI, Agentic AI, automation, and machine learning technologies.
- Evaluate AI platforms, frameworks, models, and tools for enterprise adoption.
- Conduct technical feasibility assessments for proposed AI use cases.
- Benchmark AI solutions and recommend optimal architectures.
- Stay current with advancements in LLMs, AI Agents, RAG architectures, Copilot technologies, and automation platforms.
AI Research & Innovation
- Research emerging AI, Generative AI, Agentic AI, automation, and machine learning technologies.
- Evaluate AI platforms, frameworks, models, and tools for enterprise adoption.
- Conduct technical feasibility assessments for proposed AI use cases.
- Benchmark AI solutions and recommend optimal architectures.
- Stay current with advancements in LLMs, AI Agents, RAG architectures, Copilot technologies, and automation platforms.
Proof of Concept (POC) Development
- Design, build, and demonstrate rapid prototypes for AI use cases.
- Develop POCs that validate business value and technical feasibility.
- Create MVPs to support executive and stakeholder decision-making.
- Identify risks, limitations, scalability considerations, and implementation requirements.
- Present technical findings and recommendations to business and technology leadership.
- Design, build, and demonstrate rapid prototypes for AI use cases.
- Develop POCs that validate business value and technical feasibility.
- Create MVPs to support executive and stakeholder decision-making.
- Identify risks, limitations, scalability considerations, and implementation requirements.
- Present technical findings and recommendations to business and technology leadership.
AI Solution Development
- Develop production-ready AI applications and services.
- Design API integrations between AI platforms and enterprise systems.
- Build AI-powered workflows, copilots, virtual assistants, and automation solutions.
- Develop Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge sources.
- Create scalable and reusable AI solution components.
- Develop production-ready AI applications and services.
- Design API integrations between AI platforms and enterprise systems.
- Build AI-powered workflows, copilots, virtual assistants, and automation solutions.
- Develop Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge sources.
- Create scalable and reusable AI solution components.
Business & Stakeholder Collaboration
- Partner with Business Analysts to understand business requirements and use cases.
- Collaborate directly with business stakeholders to refine AI opportunities.
- Translate business problems into technical solution designs.
- Participate in discovery workshops and innovation sessions.
- Provide technical guidance on AI capabilities, limitations, and implementation approaches.
- Partner with Business Analysts to understand business requirements and use cases.
- Collaborate directly with business stakeholders to refine AI opportunities.
- Translate business problems into technical solution designs.
- Participate in discovery workshops and innovation sessions.
- Provide technical guidance on AI capabilities, limitations, and implementation approaches.
Solution Architecture & Integration
- Develop solution architectures for AI applications.
- Integrate AI solutions with enterprise platforms such as SAP, ServiceNow, Microsoft 365, Azure, databases, and internal applications.
- Design secure and scalable deployment architectures.
- Ensure compliance with enterprise governance, security, and responsible AI standards.
- Support cloud and hybrid deployment models.
- Develop solution architectures for AI applications.
- Integrate AI solutions with enterprise platforms such as SAP, ServiceNow, Microsoft 365, Azure, databases, and internal applications.
- Design secure and scalable deployment architectures.
- Ensure compliance with enterprise governance, security, and responsible AI standards.
- Support cloud and hybrid deployment models.
Deployment & Operationalization
- Support pilot deployments and production rollouts.
- Monitor AI solution performance and optimize results.
- Improve solution reliability, scalability, and maintainability.
- Troubleshoot technical issues and support continuous enhancement activities.
- Create technical documentation and implementation guides.
- Support pilot deployments and production rollouts.
- Monitor AI solution performance and optimize results.
- Improve solution reliability, scalability, and maintainability.
- Troubleshoot technical issues and support continuous enhancement activities.
- Create technical documentation and implementation guides.