Lightworks is a global firm that integrates consequential technologies and bolsters mission-critical programs. Launched in the AI era, Lightworks is powered by people who have spent decades implementing net‑new and highly iterative technologies at scale across banking, insurance, telecommunications, and public infrastructure.
Our team brings deep engineering expertise and first‑hand knowledge of how organizations operate, distribute change at scale, and manage risk. We specialize in control plane engineering, bolstering mission‑critical programs, modernization, and scaling emergent technologies.
THE ROLESenior Consultants at Lightworks deliver hands‑on technical implementation across cloud engineering, data platforms, AI infrastructure, Dev Ops, and security architecture. You are expected to be embedded, client‑facing, and technically accountable from day one. Day to day, you help some of the world’s most complex and highly regulated firms implement leading‑edge technologies at scale.
You will work inside client programs alongside teammates, Principal Consultants, senior client engineers, and Program Directors. You are expected to be able to operate independently, executing work streams, managing other teammates and deliverables. You will receive mentorship and guidance from Principal Consultants, but your work and delivery should be self‑standing and defensible in its own right.
WHAT YOU WILL DO Enterprise AI & Control Plane, and Emerging Technology- Design and build enterprise AI capabilities including LLM gateway, model and inference routers, implementation of guardrails
- Build and refine production‑grade AI solutions utilizing Lang Graph, Lang Fuse, ADK, and other leading LLM orchestration and observability platforms
- Own and deliver AI and data work streams within large‑scale enterprise programs, including AI/ML infrastructure, data platforms, and agentic system deployments
- Proven experience designing, building, and deploying agentic systems, AI workflows and multi‑agent AI systems in production environments
- Proven ability to design and build secure, compliant cloud platforms, and foundations for highly regulated industries (finance, insurance, aviation, or similar)
- Extensive experience as a cloud consultant leading large‑scale cloud migrations, modernization projects, and cloud‑native architecture on AWS, Azure and/or GCP
- 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
- Clear, concise communicator – able to translate complex technical concepts for both engineering and executive audiences without losing precision.
- Bachelor's degree in Computer Science, Engineering, or another STEM‑related field. Equivalent practical experience considered
- Hyper‑scale certifications at Associate or Professional level required. Specialty certifications (Security, Data Analytics, Solutions Architect Professional) are a meaningful differentiator. 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
- 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 Lang Graph, Lang Fuse, ADK, CrewAI, Auto Gen, 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), Dev Ops/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…
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