Description :

Lead AI Engineer / Consultant (Custom AI & Automation)

Engagement Type : Independent Consultant (Project-Based)

Location : Remote

Company : Salyant Ltd (United Kingdom)

Role Context :

Salyant designs and delivers applied AI and automation systems that integrate directly into real business operations. Our work focuses on architecting and implementing AI-enabled solutions that execute business workflows, rather than academic research or speculative experimentation.

We engage with a small, selective group of senior engineers and consultants who operate as technical owners, leading client initiatives from discovery and system design through to implementation and production rollout.

This role is intended for practitioners who value architectural authority, delivery ownership, and outcome-linked economics, and who prefer this mode of work over traditional employment structures.

What You Will Do :

- Participate in client discovery and technical scoping discussions, translating business problems into well-defined technical approaches

- Design deterministic AI system architectures aligned to operational outcomes

- Architect and implement custom AI and automation solutions, including :

a. LLM-centric pipelines and decision logic

b. Retrieval-Augmented Generation (RAG) and document intelligence systems

c. Agent-based or orchestration-driven components

- Integration-heavy solutions across SaaS platforms and internal systems

- Own end-to-end delivery : design ? build ? validation ? production handover

- Make pragmatic trade-offs across cost, latency, reliability, scalability, and maintainability

- Deliver systems that are production-grade, robust, and operational, not prototypes

What This Role Is Not :

- Not AI or ML research

- Not model training from scratch

- Not open-ended experimentation

- Not ticket-based execution or staff augmentation

- Not people management

We prioritise execution, ownership, and clarity over novelty.

Working Model :

- Engagements are project-based and scope-defined

- You operate with full technical ownership for assigned work

- Engineers and consultants use their own development environment and compute resources

- Salyant provides infrastructure, APIs, GPUs, or cloud resources only where explicitly included in a client engagement

Compensation:

- Compensation is aligned to delivery ownership and project scope, and is finalised per engagement once client requirements and commercials are confirmed.

- Depending on the nature of the project, this may include:

1)Fixed milestone-based fees

2)Time-boxed discovery or delivery sprints

3)In select cases, an additional success-linked component where a consultant owns delivery end-to-end

- This model is designed for senior practitioners who value autonomy, responsibility, and transparent economics over fixed roles.

Ideal Background (Indicative, Not Mandatory) :

- Strong academic foundation from IITs, IIMs, NITs, or other top-tier global institutions, or a minimum of 5+ years of relevant industry experience with demonstrated capability delivering complex AI, automation, or system-integration work

- Proven experience building and deploying production-grade AI-enabled systems in real-world environments

- Comfort operating at the intersection of technical depth, client interaction, and delivery ownership

- Preference for high-bar, ownership-driven work rather than conventional employment structures

Who This Suits :

- Senior engineers or consultants who want to operate at the solution and architecture layer, not as delivery resources

- Practitioners comfortable leading delivery independently and being accountable for outcomes

- Individuals who value impact, autonomy, and accountability over hierarchy and titles

Founder's Note:

This is a selective, ownership-driven engagement model. We work with people who expect to be trusted with real responsibility and who are comfortable operating without rigid structures or constant oversight.