Strategic AI FDE Enablement Operations Engineer

hireneXus; Boston (MA); On-site; USD 140,000 - 200,000; Full time

Job summary

hireneXus is seeking a Forward-Deployed Engineer to establish and scale AI capabilities across multiple companies. You will work with C‑level teams to identify opportunities, develop AI-enabled products, and create agentic workflows that boost engineering productivity and customer operations.

You will lead the design and deployment of AI-powered solutions, integrating with CRM/ERP ecosystems, data warehouses, and enterprise platforms.

Qualifications

• 5+ years of software/AI engineering or architecture experience.
• Experience with AI technologies, including LLM APIs, agents, RAG, and automation.
• Delivery of production-ready solutions from concept through production.
• Strong background integrating enterprise applications, APIs, and data ecosystems.
• Exceptional analytical and problem-solving abilities with rapid learning.
• Ability to scale solutions with reliability, security, and production readiness.
• Strong executive communication and ability to translate tech to business language.
• Autonomous work style in ambiguous, fast-moving environments.
• Coaching leadership with hands-on technical engagement when needed.

Responsibilities

• Collaborate with executive, technical, and functional stakeholders to identify high-value AI opportunities.
• Architect, develop, and launch AI-powered products, agents, and automated workflows across business areas.
• Translate ambiguous needs into scalable technical solutions from ideation to production.
• Connect AI capabilities with CRM, ERP, data warehouses, APIs, and legacy data systems.
• Define architecture, data requirements, and integration needs for initiatives.
• Roll out AI solutions with training materials, enablement programs, and change management.
• Establish reusable architectures, playbooks, and standards for future AI work.
• Advise senior leadership on AI opportunities, technologies, and risks.
• Mentor engineers and business leaders to build internal AI capabilities.
• Continuously monitor AI advancements and identify practical applications.

Skills

Software engineering

AI engineering

Technical architecture

Large language model APIs

AI agents

RAG (retrieval-augmented generation)

Automation platforms

Enterprise integration

Executive communication

Mentoring

Tools

APIs

CRM/ERP systems

Data platforms

Job description

This role will establish and scale AI capabilities across a portfolio of companies, helping teams leverage emerging technologies to drive value creation across product development, engineering, sales, and customer operations. Projects may include building AI-enabled products and features, developing agentic workflows to improve engineering productivity, implementing AI-powered sales enablement tools, and creating solutions that streamline customer onboarding and support. The Forward-Deployed Engineer will work closely with C-level executives and their teams to identify opportunities, develop and implement solutions, and build lasting internal AI capabilities that enable each organization to independently design, launch, and scale AI-enabled products and workflows.

Key Responsibilities

• Collaborate with executive, technical, and functional stakeholders to identify, evaluate, and prioritize high-value opportunities for applying AI across the organization.
• Architect, develop, and launch AI-powered products, intelligent agents, and automated workflows designed to enhance business processes across product development, sales, finance, customer experience, and operations.
• Convert ambiguous business needs and complex challenges into scalable technical solutions, leading initiatives from ideation and rapid prototyping through production implementation.
• Connect AI capabilities with existing enterprise technology ecosystems, including CRM and ERP applications, data warehouses, APIs, and legacy or distributed data environments.
• Assess the AI and data readiness of potential initiatives, defining technical architecture, data requirements, integration needs, and implementation strategies.
• Lead the rollout and adoption of AI solutions by developing training materials, documentation, enablement programs, and change-management practices in collaboration with business and technology teams.
• Establish reusable architectures, development frameworks, playbooks, tools, and standards that improve the speed, quality, and consistency of future AI implementations.
• Serve as a strategic technical advisor to senior leadership on AI opportunities, technology choices, implementation approaches, emerging capabilities, and associated risks and tradeoffs.
• Mentor and coach engineers, technical teams, and business leaders, helping build the internal capabilities required to develop, deploy, manage, and scale AI solutions independently.
• Continuously monitor advancements in AI and related technologies, evaluating emerging capabilities and identifying practical applications that can address meaningful business needs.

Qualifications

• 5+ years of experience in software engineering, AI engineering, technical architecture, or a comparable technical discipline, with a proven track record of delivering production-ready solutions.
• Practical experience with modern AI technologies, including large language model APIs, AI agents, retrieval-augmented generation (RAG), automation platforms, and contemporary AI development frameworks.
• Demonstrated success delivering new products, platforms, or technical capabilities from initial concept through production, including experience with 0-to-1 development initiatives.
• Strong background in integrating enterprise applications, APIs, data platforms, and complex, distributed, or fragmented data ecosystems.
• Exceptional analytical and problem-solving abilities, with the capacity to rapidly learn unfamiliar technologies, business processes, systems, and data structures.
• Ability to move quickly while maintaining appropriate standards for scalability, reliability, security, and production readiness.
• Strong commercial understanding and executive communication skills, with the ability to advise senior stakeholders, challenge conventional assumptions, and explain complex technical concepts in business-oriented language.
• Demonstrated ability to work autonomously, prioritize competing initiatives, and deliver outcomes within ambiguous, rapidly evolving environments.
• Excellent communication, collaboration, and stakeholder-management skills, with the ability to build consensus and influence both technical and non-technical teams without direct authority.
• Coaching-focused leadership approach with a willingness to develop internal talent while remaining hands-on and technically engaged when necessary to accelerate delivery.