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Head of AI Engineering – Agentic AI

Job in New York, New York County, New York, 10261, USA
Listing for: Software Guidance & Assistance, Inc. (SGA, Inc.)
Full Time position
Listed on 2026-01-23
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: New York

2 days ago Be among the first 25 applicants

Software Guidance & Assistance, Inc. (SGA, Inc.) Provided Pay Range

This range is provided by Software Guidance & Assistance, Inc. (SGA, Inc.). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base Pay Range

$/yr - $/yr

Head of AI Engineering – Agentic AI

Software Guidance & Assistance, Inc. (SGA) is searching for a Head of Agentic AI Engineering for a direct placement assignment with one of our premier Insurance clients in NYC, Holmdel, NJ, or Bethlehem, PA
. Hybrid schedule.

As the Head of Agentic AI Engineering, you will lead the development and implementation of our enterprise initiatives which include automation solutions, Agentic AI and intelligent self‑service technologies. Your role is pivotal in understanding the impact of AI agents in optimizing business processes and creating a new paradigm for how humans and AI collaborate. Collaborate with teams, partners, and collaborators to develop automation solutions for business growth.

You

Are:
  • Agentic AI Expertise: Demonstrates current, hands‑on experience architecting and deploying agentic AI systems, including autonomous agents capable of reasoning, planning, and tool use across enterprise environments.
  • Generative AI Integration: Skilled in integrating generative AI models (e.g., LLMs, image generators) into agentic workflows to enhance automation, personalization, and decision‑making.
  • Enterprise‑Scale Delivery: Proven track record of delivering scalable, enterprise‑grade AI and automation solutions with measurable impact on customer engagement, operational efficiency, and digital transformation.
  • Conversational & RPA Technologies: Deep expertise in conversational AI, natural language understanding, and Robotic Process Automation (RPA), including both attended and unattended bots.
  • Strategic Leadership: Capable of translating emerging AI trends into actionable strategies, driving innovation and competitive advantage in complex, matrixed organizations.
  • Impact‑Driven Mindset: Adept at evaluating and optimizing the business impact of agentic AI initiatives, including improvements in self‑service adoption, call avoidance, and agent performance.
  • Multi‑Functional

    Collaboration:

    Seasoned in guiding and influencing teams in engineering, product, IT, and customer experience, with a keen focus on engaging and aligning with partners.
  • Ethical AI Stewardship: Committed to responsible AI development, with a focus on transparency, governance, and compliance with data protection and regulatory standards.
Responsibilities
  • Strategic Leadership: Develop and implement a comprehensive automation and AI strategy, aligning with business objectives and emerging technology trends.
  • Solution Development: Lead the design, development, and deployment of AI Agents with robust guardrails and safety protocols to ensure responsible and ethical behavior of autonomous agents.
  • Understanding AI Agent Impact: Oversee the entire life cycle of an AI agent, including planning, tooling, memory management, and feedback loops.
  • Technical Execution: Establish and enforce guidelines for agent development, including testing and evaluation, to ensure reliability and performance in production.
  • Collaborator Interaction: Engage with engineering, product management, customer experience, and IT teams to incorporate solutions into current platforms and contact center operations.
  • Security & Compliance: Ensure all initiatives align with data protection standards, regulatory frameworks, and enterprise security requirements.
  • Performance Monitoring & Continuous Improvement: Define KPIs and success metrics for initiatives, ensuring continuous monitoring, optimization, and business impact evaluation.
Required Skills
  • Bachelor's or master's degree in computer science, engineering, management or a related field, or equivalent experience.
  • Demonstrable experience in automation and AI, as well as solution engineering, with a preference for customer engagement and digital assistants.
  • Strong expertise in conversational technology and deployment of complex AI solutions.
  • Experience in deploying enterprise‑grade solutions and automation…
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