Artefact US https://www.getonbrd.com/companies/artefact-us Follow

August 05, 2026

Senior Forward Deployed AI Engineer (Gemini Enterprise) in Artefact US

Remote (Argentina and Peru) | Senior | Full time | Machine Learning & AI

Gross salary $5,000 USD/month

21 applications

Revisado por última vez ayer

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ⓘ Requires applying in English

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.

We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions.

As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption.

Find this vacancy on Get on Board.

What You'll Do

A Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from idea to production.

You'll design and build the interfaces, services, and agentic systems at the heart of our client work: conversational apps over enterprise data, agents automating workflows, and the pipelines supporting them. You own components end to end: front end, service, data, deployment, and evals.

Build Full-Stack AI Applications, End to End

Develop interfaces in TypeScript/React and backend services/APIs in Python or Node.
Implement agentic behavior: orchestration, tool/function calling, memory, guardrails.
Build RAG pipelines: ingestion, chunking, embeddings, vector/hybrid search.
Connect AI systems to enterprise data via APIs, semantic layers, and MCP.

Go Deep on Gemini Enterprise and the Google AI Stack

Build agents with Gemini models, Vertex AI, ADK, and Agent Engine.
Configure Gemini Enterprise: Agent Designer, the Inbox, and agent sandboxes.
Connect Gemini Enterprise to client systems via connectors, with proper permissions.
Build grounded apps with Vertex AI Search, RAG Engine, Search grounding, and BigQuery.
Implement interoperability via A2A and MCP.
Track Google's releases and translate new capabilities into client value.

Make AI Systems Production-Grade

Write evals and regression tests; monitor cost, latency, and quality.
Apply solid practice: version control, review, testing, CI/CD, observability.
Deploy on GCP/Azure/AWS using containers, serverless, and infra-as-code.
Build and maintain data pipelines feeding AI systems.

Work AI-Natively and Client-Facing

Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment.
Communicate progress, trade-offs, and blockers to clients and leads.
Support pre-sales: scope solutions, build demos, estimate effort with partners.
Mentor engineers; contribute to accelerators and engineering standards.

What We're Looking For

Required Experience

3–5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds).
Professional English proficiency (C1/C2 minimum) — mandatory. You will work daily with international clients and colleagues.
Strong hands-on experience with the Google AI stack: Gemini models, Vertex AI, and ideally Gemini Enterprise or ADK — ideally with experience taking at least one solution to production on GCP.
Strong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.
Experience with front-end development (React or similar) and at least one backend framework.
Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (Google ADK, LangGraph/LangChain).
Strong working experience with GCP; Azure or AWS is a plus.
Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
Experience building and maintaining data pipelines.
Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.

Certifications
A Google Cloud certification is a strong differentiator at application. If you do not hold one yet, obtaining it within your first 2 months in the role is a requirement — Artefact sponsors the exam and gives you time to prepare.

Google Cloud Professional Machine Learning Engineer (preferred), covering Vertex AI, generative AI, and production ML.
Google Cloud Generative AI Leader is valued as a foundation, complemented by hands-on Vertex AI / Gemini Enterprise delivery experience.

Preferred Experience

Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
Experience with Terraform or CI/CD pipelines.
Experience with GCP, BigQuery, or Google Workspace integrations alongside Gemini Enterprise.

Key Capabilities

A strong candidate will bring:

Deep expertise in Gemini Enterprise and the Google AI stack, combined with breadth across the full stack
Owns features end to end, from interface to infrastructure
Cares about evaluation and reliability, not just the happy path
Communicates clearly with clients in demos, documents, and code review
Client-facing mindset: understands client needs and translates business requirements into technical solutions
Learns new tools and models fast, and shares what works

Why Join Artefact

At Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.

You will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.

We value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.

GETONBRD Job ID: 62894

Computer provided Artefact US provides a computer for your work.

Remote work policy

Locally remote only

Position is 100% remote, but candidates must reside in Argentina and Peru.

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About Artefact US

Artefact is a global leader in data and AI consulting services dedicated to transforming data into business impact across the entire value chain of organizations. — Artefact US's full profile