Job Description:

As a Staff Solutions Architect, you will serve as a trusted technical advisor to our strategic customers, helping them solve their most complex machine learning and AI challenges. You will bridge the gap between cutting-edge AI research and production-grade enterprise deployments—coaching client teams through the practical realities of feature engineering, model governance, and multi-step agentic workflows.

Working closely with customers, partners, and Google Product teams, you will architect, implement, and bring tailored AI solutions into production.

Key Responsibilities

Technical Advisory & Customer Coaching

- Serve as the primary technical partner for customer engineering leadership, translating business goals into scalable AI/ML architectures.
- Guide and coach customer teams through real-world MLOps and system-design challenges:
- Feature Engineering: Feature extraction, definition, and transformation pipelines.
- Data Quality: Data validation, schema drift, and automated data checks.
- System Operations: Continuous monitoring, lineage, and management of features and models in production.

Agentic AI & Systems Architecture

- Architect, prototype, and implement enterprise-grade, multi-step Agentic AI workflows.
- Leverage state-of-the-art frameworks and platforms, including Agent Development Kits (ADK), Agent Engine, LangChain, Vertex AI, and AgentSpace.
- Design resilient systems with human-in-the-loop validation, tool orchestration, and multi-agent coordination.

Cross-Functional Collaboration & Delivery





- Collaborate directly with Google Product and Engineering teams to share field feedback, influence product roadmaps, and resolve complex technical blockers.
- Partner with external implementation partners and client engineering teams to ensure smooth end-to-end delivery into production environments.
- Develop reusable architectural blueprints, whitepapers, and code samples to elevate team and community capabilities.

Required Qualifications & Skill Set

- Experience: 6+ years in Machine Learning, AI Engineering, Solutions Architecture, or Technical Consulting in production environments.
- Agentic AI Frameworks: Hands-on experience designing and deploying agentic workflows using LangChain, Vertex AI, ADK, Agent Engine, or AgentSpace.
- MLOps & Feature Management: Deep understanding of feature stores, data validation tools (e.g., Great Expectations, TFDV), continuous monitoring, and model drift management.
- Google Cloud Ecosystem: Advanced familiarity with Google Cloud Platform, specifically Vertex AI, BigQuery, and related data/AI pipelines.
- Software Engineering: Strong proficiency in Python, along with solid engineering practices (CI/CD, containerization with Docker/Kubernetes, API design).
- Communication & Advisory: Proven ability to communicate complex architectural concepts to executive stakeholders and mentor hands-on client teams.

Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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📌 Solutions Architect (Colombia)
🏢 Tekshapers
📍 Colombia