AI Enablement Operations Engineer

hireneXus; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

hireneXus in New York seeks an AI Consulting Engineer to scale AI capabilities across client portfolios, partnering with executives to identify opportunities and deliver AI-enabled products and workflows.

You will design, build, and deploy AI solutions, integrate with CRM/ERP systems, and develop reusable playbooks that accelerate adoption. You’ll coach engineers and business leaders, translating complex ideas into practical business terms to drive value.

Qualifications

• 5+ years of software engineering or AI engineering with production delivery.
• Hands-on with large language model APIs, AI agents, RAG architectures, automation platforms.
• Experience delivering 0-to-1 initiatives.
• Strong systems integration with enterprise apps, data platforms.

Responsibilities

• Partner with executive leaders to identify high-impact AI opportunities.
• Design, build, and deploy AI-enabled products and workflows across departments.
• Translate complex business challenges into practical technical solutions for production deployment.
• Integrate AI with CRM, ERP, data warehouses, and legacy systems.
• Evaluate readiness, architecture, data requirements, and implementation considerations for each initiative.
• Drive adoption through training, documentation, and change management.
• Develop reusable frameworks and playbooks to accelerate future AI initiatives.
• Advise senior leadership on AI strategy, tradeoffs, risks, and capabilities.

Skills

AI engineering

System integration

Executive communication

APIs & data platforms

Leadership

Tools

LLM APIs

RAG architectures

Automation platforms

Job description

AI Consulting Engineer

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.

Responsibilities

• Partner with executive, technical, and functional leaders to identify and prioritize high-impact opportunities to leverage AI across the organization.
• Design, build, and deploy AI-enabled products, agents, and workflows that improve business processes across areas such as product development, sales, finance, customer support, and operations.
• Translate complex or loosely defined business challenges into practical technical solutions, taking initiatives from initial concept and rapid prototype through production deployment.
• Integrate AI solutions with existing enterprise systems, including CRM and ERP platforms, data warehouses, APIs, and legacy data environments.
• Evaluate AI readiness, technical architecture, data requirements, and implementation considerations to determine the most effective approach for each initiative.
• Drive adoption of AI solutions through training, documentation, change management, and close partnership with business and technology teams.
• Develop reusable frameworks, playbooks, tools, and best practices that accelerate future AI initiatives and create consistency across the organization.
• Advise senior leadership on AI strategy, implementation opportunities, technical tradeoffs, risks, and emerging capabilities.
• Coach engineers and business leaders, helping internal teams develop the skills and processes necessary to independently build, deploy, and scale AI solutions.
• Stay current on emerging AI technologies and identify practical opportunities to apply new capabilities to meaningful business problems.

Qualifications

• 5+ years of software engineering, technical architecture, AI engineering, or related experience, with a demonstrated ability to build and launch production solutions.
• Hands-on experience with modern AI technologies, including large language model APIs, AI agents, RAG architectures, automation platforms, and related development frameworks.
• Proven experience taking new products or technical solutions from concept through development and production, including 0-to-1 initiatives.
• Strong systems integration experience with enterprise applications, APIs, data platforms, and complex or fragmented data environments.
• Exceptional problem-solving skills with the ability to quickly understand unfamiliar technologies, business processes, and data environments.
• Ability to balance speed and scalability, rapidly developing solutions while applying appropriate technical rigor for production environments.
• Strong business acumen and executive presence with the ability to advise senior leaders, challenge assumptions, and translate technical concepts into business terms.
• Demonstrated ability to operate independently, manage multiple initiatives, and deliver results in highly ambiguous and fast-moving environments.
• Strong communication and relationship-building skills with the ability to influence technical and non-technical stakeholders without formal authority.
• Coaching-oriented leadership style with the ability to develop internal capabilities while remaining hands-on when needed to accelerate execution.