Forward Deployed Engineer

Team: Freelance

Location: All Locations

Commitment: Freelance

Workplace Type: remote

Salary:

What you'll be doing:

Client-Facing Technical Leadership

Partner with clients to shape and validate technical solutions for content modernization and GenAI enablement.

Advise on technology stacks, tradeoffs, and implementation approaches (CMS/DAM, front end, APIs, AI services).

Translate content strategy and design intent into executable technical plans.

Hands-On Delivery & Prototyping

Design and build proof-of-concepts that demonstrate feasibility, value, and scalability.

Implement front-end integrations with headless CMS/DAM platforms.

Build or wire up GenAI workflows (LLM, RAG) into content creation, assembly, and delivery pipelines.

Collaborate directly with client and partner (e.g., Mphasis) engineering teams on implementation.

AI & Content Enablement

Integrate AI-assisted authoring, retrieval, and personalization features into content systems.

Define guardrails for AI usage, including privacy, consent, accessibility, and observability.

Design evaluation approaches for AI outputs (quality, factuality, tone, accessibility).

Quality, Performance & Operations

Ensure accessibility (WCAG), performance (Core Web Vitals), and scalability are built in from the start.

Define testing strategies for content models, front-end rendering, and AI outputs.

Support launch readiness with documentation, runbooks, and defect triage.



Practice Growth

Act as an internal technical advisor and multiplier.

Help define future roles and participate in hiring more specialized engineers as demand grows.

What we are looking for:

Skills & Experience

Core Requirements

Senior-level, hands-on engineering experience (you still code).

Strong front-end fundamentals (HTML, CSS, JavaScript/TypeScript); React/Next.js preferred.

Experience integrating headless CMS/DAM platforms (e.g., Contentful, AEM Headless, Sitecore).

Practical experience working with LLMs, RAG patterns, or AI-driven workflows.

Comfort designing APIs, data contracts, and front-end/state management patterns.

Experience working directly with clients or stakeholders in a consulting or delivery role.

AI & Content Systems

Experience embedding AI into content workflows (authoring, assembly, review, personalization).

Understanding of evaluation metrics (quality, safety, accessibility) and human-in-the-loop review.

Familiarity with privacy, compliance, and accessibility considerations for AI systems.

Testing & Quality

Experience with front-end testing (unit, integration, UI) and accessibility tooling.

Ability to design validation strategies for modular content and AI outputs.



Nice to Haves

Design systems experience (Storybook, tokens, enterprise component libraries).

Performance optimization (SSR/ISR, edge/CDN strategies).

Internationalization and localization workflows.

Experience with AI observability, cost monitoring, or prompt optimization.

CMS-integrated AI evaluation or reviewer dashboards.