Senior AI Strategist / Solution Architect

🌟Join KEYRUS and transform the future with us! 🌟

Who are we?

At Keyrus, we are passionate about innovation and technology. We are a French company with over 28 years of experience, present in 26 countries and with more than 3,500 consultants worldwide. In Colombia, we have been leading solutions in digital experience and data intelligence for 8 years, helping companies evolve in the digital age.

🌍Do you like dynamic and challenging environments?

As Senior AI Engineer at Keyrus, your objetive would be to own the end-to-end definition and delivery of AI-driven solutions for our clients and internal teams, from business-case analysis and platform selection through architecture, prototyping, and production rollout, while setting technical standards, contributing to pre-sales, mentoring engineers, and shaping our agentic AI practice.

What You’ll Do:

• Discover & assess: Lead structured discovery across departments, facilitate workshops and interviews with executives, managers and the people who do the work to map workflows and surface pains; baseline AI maturity across six dimensions (strategy, architecture & tooling, literacy, competences, organization & processes, security & compliance); benchmark it and translate the gaps into prioritized, practical recommendations.

• Prioritize & shape the roadmap: Turn a wide field of opportunities into a confident shortlist, score and sequence use cases on value × feasibility × complexity with a transparent, weight-adjustable model, build express value hypotheses (benefit, effort, directional value) that make very different initiatives comparable, and consolidate them into a sequenced, multi-horizon roadmap leadership can fund with confidence.

• Architect & assess feasibility: Bring technical judgment to what's real, screen technical and data feasibility, design target-state architectures for agentic and generative AI (multi-agent workflows, RAG pipelines, tool/function calling, memory and state, guardrails, human-in-the-loop), and tag each opportunity to the best-fit tool the client already owns (separating "do this with current tools now" from "this needs new capability later" so spend is sequenced and justified.)

• Govern & advise: Draft right-sized governance, responsible-AI, operating-model and adoption recommendations that scale control with criticality, and communicate the whole story through clear trade-off analyses and executive readouts that land equally well with engineers and the board.

• Grow the practice: Contribute to pre-sales and solutioning, mentor consultants and engineers, define best practices, and keep pace with a fast-moving field (new models, frameworks, MCP, agent protocols, governance regimes) — bringing well-judged ideas back to clients and teams.

What We’re Looking For (Mandatory Requirements)

Our ideal candidate brings a balance of technical skills, curiosity, and a consultative mindset:

• Degree in Computer Science, Engineering, Data Science, or related field (or equivalent professional experience)

• 7+ years in AI / data / software (with at least 2 year of experience with AI), including hands-on experience taking generative or agentic AI from idea toward production; consulting or client-facing experience is highly valued.

• Hands-on experience building AI agents and generative-AI systems, multi-agent workflows, RAG pipelines, tool/function calling and guardrails — with an orchestration framework (e.g., LangChain / LangGraph or equivalent).

• Hands-on experience with Anthropic Claude and Microsoft Copilot, using and optimizing both in real workflows (Claude Skills / Projects / MCP; Copilot / Copilot Studio), with a clear point of view on where each is the better tool by use case.

• Hands-on experience with at least one major cloud AI platform, e.g., AWS / Amazon Bedrock (foundation models, agents, guardrails) or Azure OpenAI, and the surrounding stack.

• Solid grasp of RAG (embeddings, chunking, hybrid/semantic search, reranking, evaluation, vector databases) and a clear sense of where it does and does not fit.

• Proven ability to lead discovery and assessment, facilitating executive workshops and interviews, mapping workflows, and capturing opportunities in a structured, comparable way.

• Strong command of AI strategy and prioritization, building value hypotheses / business cases and using value × feasibility scoring to make defensible "what first" decisions.

• Strong Python and software-engineering fundamentals (APIs, services, version control, testing), enough to judge feasibility, effort and architecture credibly.

• Proven ability to evaluate platforms objectively and justify architecture and investment decisions to both technical and business audiences.

• A consulting mindset: curiosity, ownership, structured communication, executive presence, and a collaborative, teamwork-first attitude.

Desirable requirements (nice-to-have)

• Experience designing AI governance, operating models (CoE / Core + Edge) and responsible-AI frameworks in enterprise settings.

• Familiarity with AI maturity assessment frameworks and benchmarking.

• Relevant certifications (e.g., AWS Certified AI/ML or Solutions Architect; Salesforce Agentforce / Platform credentials a bonus).

• Experience comparing and integrating multiple agent platforms within a single architecture.

• Knowledge of regulatory and privacy frameworks (e.g., GDPR, EU AI Act).

• Exposure to front-end (React) for building demos and copilots.

• Experience mentoring engineers or helping build and scale a practice.

We want you to feel part of Keyrus from the very beginning! 🤝

Why Keyrus?

• We are a Great Place to Work 🏆

• At Keyrus we work 100% remotely, with the possibility of 10-20% travel depending on the position 🌐

• We offer a challenging environment, where you will work with cutting-edge technologies in the world of consulting 💡

• We have competitive benefits and multiple opportunities for professional growth📈

Join us at Keyrus! 🌟

If you want to know more about the company, we invite you to visit our website: https://keyrus.com/latam/es/home

Keyrus believes in diversity and, therefore, we only evaluate the technical and behavioral aspects of our candidates. We encourage everyone to participate in our hiring processes, regardless of their gender, age, ethnicity, religion, identity or condition! We do not allow any type of discrimination in our team.

See you in the process!