Solutions Architect (Colombia)

Solutions Architect (Colombia)

19 ago
|
Tek Leaders
|
Colombia

19 ago

Tek Leaders

Colombia

Role: AIS Engineer

Location: Columbia (Remote) - Location: Any country in Latam other than Mexico (Remote Support)

Language Requirement: Fluent in Spanish and English.

Allocation: 40 hrs per week

Time Zone: GMT-3 and GMT-5

Type of Hire - Contract/ C2H - Contract

Duration: 5 months +

We have an urgent request for a Staff Sol Architect role in Columbia LATAM

Skill Set Needed: Be a trusted technical advisor to customers and solve complex machine learning challenges. Coach customers on the practical challenges in machine learning systems: feature extraction, feature definition, data validation, monitoring, and management of features and models. Architect and implement multi-step Agentic AI workflows using ADK, Agent Engine, LangChain, Vertex AI, and AgentSpace.

Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production.

JD :

- 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.

Preferred Qualifications

- Experience building multi-agent systems, tool-calling frameworks, or autonomous decision-making pipelines.
- Formal certifications on Google Cloud (e.g., GCP Professional Machine Learning Engineer or Professional Cloud Architect).
- Prior experience in technical consulting or strategic enterprise customer-facing roles.

📌 Solutions Architect (Colombia)
🏢 Tek Leaders
📍 Colombia

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