Sigma Information Group, Inc.

Security Engineer

• AI Strategy & Advisory: Lead AI discovery sessions with client leadership, business teams, and technical stakeholders.
• Assess organizational readiness across people, process, data, technology, and risk.
• Identify, evaluate, and prioritize AI use cases based on business value, feasibility, and risk profile.
• Develop phased AI strategies, roadmaps, and implementation plans aligned to client objectives.
• Advise clients on AI operating models, governance structures, resourcing, and adoption priorities.
• Governance, Risk & Policy: Develop AI acceptable use standards, governance guardrails, and approval frameworks.
• Define approved and prohibited use cases, data handling expectations, and human review requirements.
• Help clients classify data and determine what can and cannot be used with approved AI platforms.
• Engage Sigma’s CISO on AI risk, privacy, regulatory, and compliance considerations as they surface in client work.
• Support policy and standards updates as client AI capabilities mature over time.
• Training & Enablement: Deliver AI awareness and literacy training for leaders, staff, and pilot participants.
• Provide role-based guidance on practical use cases, prompt hygiene, output validation, and safe use.
• Help clients build internal AI champions, governance ownership, and durable adoption momentum.
• Pilot Design & Delivery: Design and run AI pilot programs for selected teams, departments, or business functions.
• Define pilot objectives, success criteria, controls, timelines, and participation expectations.
• Coordinate rollout of approved tools, workflows, and supporting processes.
• Facilitate feedback collection, lessons learned, and performance reviews.
• Recommend expansion, redesign, or retirement based on business and risk outcomes.
• Technical Implementation: Configure, deploy, and support AI platforms and agentic assistants in client environments.
• Build and maintain custom AI skills, reusable prompt libraries, and knowledge-grounded experiences.
• Design, test, and refine agentic workflows that coordinate tasks, tool use, and human review checkpoints.
• Connect AI capabilities to client business processes, internal knowledge sources, and operational workflows.
• Support integrations, permissions alignment, workspace configuration, and deployment readiness.
• Troubleshoot implementation issues, validate outputs, and iterate based on real-world usage feedback.
• Optimization & Scale: Define and track metrics for adoption, efficiency, output quality, and business impact.
• Review outcomes and refine governance, training, workflows, and use cases on a continuous basis.
• Identify opportunities for broader rollout, deeper automation, and expanded use of agentic AI.
• Help clients graduate from structured experimentation to durable, governed operational use.
• Client & Consulting Leadership: Serve as the primary client-facing advisor and delivery lead for AI engagements.
• Manage scope, priorities, timelines, stakeholder communication, and expectations.
• Produce executive-ready deliverables: assessments, roadmaps, policies, implementation plans, and status updates.
• Support business development, solution design, and proposal development for AI advisory opportunities.

AI Consultant