Note: The job is a remote job and is open to candidates in USA. Lightworks is hiring a Senior Consultant to deliver hands-on technical implementation across cloud engineering, data platforms, AI infrastructure, DevOps, and security architecture. The role supports regulated enterprise programs, including AI control-plane and CTO-as-a-Service engagements, while owning delivery workstreams and building client relationships.

Responsibilities

• Support the delivery of complex technology, AI, modernization, and platform programs inside regulated enterprise environments, from architecture through delivery
• Take ownership of specific work packages and see them through to completion in conjunction with teammates and client teams
• Build and maintain trusted relationships with client teams, engineering leads and developers. Present at technical forums, architectural governance boards and program updates
• Foster good working relationships across client teams, facilitating cross-functional AI and technology initiatives
• Contribute to business development through client relationship development, scope expansion, proposal leadership, and identification of new opportunities
• Mentor and develop Consultants on your engagements – invest in their growth, hold them to a high standard, and build the next generation of Lightworks’ delivery capability
• Design and build enterprise AI capabilities including LLM gateway, model and inference routers, implementation of guardrails
• Build and refine production-grade AI solutions utilizing LangGraph, LangFuse, ADK, and other leading LLM orchestration and observability platforms
• Own and deliver AI and data workstreams within large-scale enterprise programs, including AI/ML infrastructure, data platforms, and agentic system deployments
• Design and build secure, compliant cloud platforms, and foundations for highly regulated industries (finance, insurance, aviation, or similar)
• Participate in client stakeholder meetings at the Director and Head-of level, communicating progress, risks, and decisions clearly
• Produce technical documentation, architecture decision records, and delivery artefacts that are clear, defensible, and production-ready
• Communicate clearly and concisely – translating complex technical concepts for both engineering and executive audiences without losing precision

Skills

• Bachelor's degree in Computer Science, Engineering, or another STEM-related field
• Equivalent practical experience considered
• Hyper-scale certifications at Associate or Professional level are required
• Equivalent demonstrable hands-on experience considered where certifications are in progress
• 5+ years of hands-on technology delivery experience, with at least 3 years inside a highly regulated industry - financial services, insurance, telecommunications, or government
• Proven experience designing, building, and deploying agentic systems, AI workflows and multi-agent AI systems in production environments
• Prior experience in consulting, professional services, system integrator, or enterprise transformation environment
• Familiarity with regulated delivery practices including architecture review, risk and compliance sign-off, security controls, production readiness, and operational governance
• Strong full-stack depth: a modern JS framework (Vue/React/etc.) and a server-side framework (Django/Rails/Spring/etc.)
• Hands-on expertise with modern LLM orchestration frameworks such as LangGraph, LangFuse, ADK, CrewAI, AutoGen, or similar platforms
• Solid grasp of relational data modelling, API design, and authentication/authorization
• Deep technical capability in at least one core domain: AWS, Azure & GCP cloud engineering, data platforms (Airflow, Glue, Databricks), DevOps/SRE, AI/ML infrastructure, or security architecture
• Demonstrated experience delivering client-facing technology work with clear ownership of outcomes, not only tasks
• Evidence of operating well in ambiguity – managing dependencies, escalating appropriately, and following through to completion
• Clear, concise communicator – able to translate complex technical concepts for engineering and executive audiences without losing precision
• Take ownership, close loops, and make the next step obvious for clients and teammates
• Specialty certifications (Security, Data Analytics, Solutions Architect Professional) are a meaningful differentiator
• Mainframe and/or legacy application modernization exposure
• Multi-cloud experience – AWS, Azure & GCP
• Familiarity with observability, SRE practices, and production operations in regulated environments
• IaC fluency: Terraform, CloudFormation, Bicep, or equivalent

Benefits

• Performance bonus
• Full benefits package
• Stock options plan participation
• A structured career path across consultative, program delivery, executive, and non-consultative roles
• Exposure to some of the most consequential enterprise technology programs in North America and Asia Pacific
• The opportunity to work closely with Senior Consultants, Principals, and Engineering Leaders on consequential enterprise AI and modernization programs

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