78 empleos en Provectus

Responsibilities

• Lead the design and implementation of data and AI/ML architecture solutions across cloud and on-premise platforms.
• Lead complex customer engagements, providing strategic technical vision and aligning solutions with customer business goals.
• Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor.
• Lead technical workshops, training sessions, and presentations.
• Define and execute data lifecycle processes: ingestion, storage, processing, and visualization.
• Collaborate with business units and stakeholders to align solutions with business goals.
• Ensure solutions adhere to security, compliance, and architecture frameworks (e.g., AWS Well-Architected, GCP Architecture Framework).
• Lead cross-functional teams, providing mentorship and guidance to technical talent.
• Design and execute proofs of concept for emerging technologies like Generative AI, Machine Learning.
• Drive backend/ML services best practices for scalable and maintainable solutions.
• Oversee data governance and data quality processes across platforms.
• Stay updated with the latest technology trends and continuously improve the architecture strategy.

• 7+ years of experience in solutions architecture, with a strong focus on Big Data and cloud platforms (AWS, GCP, Azure).
• Excellent communication and problem‑solving skills, with the ability to work across multiple projects and to articulate complex technical concepts to both technical and non‑technical audiences.
• Technical sales or pre‑sales experience with cloud and big data, and ML solutions.
• Strong leadership and team collaboration abilities.
• Strategic thinking with a focus on delivering measurable business value.
• Proven ability to build strong relationships with customers and act as a trusted advisor.
• Proficiency in data engineering and analytics, designing data pipelines and architectures using AWS, GCP, or Azure data stack.
• Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions.
• Proven experience with data lakes, data warehouses, and real‑time data analytics.
• Proven experience with microservice architecture and containerized deployment options.
• Hands‑on experience with Kubernetes, Docker, and containerized applications.
• Proficiency in backend‑related languages: TS, Java, Python, and others.
• Solid understanding of machine learning and MLOps tools (PyTorch, SageMaker, MLFlow).
• Demonstrated ability to lead and mentor cross‑functional teams.
• Familiarity with agile methodologies.

• Experience in Generative AI implementations.
• Proficiency with graph databases (Neo4j, AWS Neptune).
• Knowledge of data mesh principles and data contracts.
• Operational knowledge of infrastructure deployment tools like AWS CDK, CloudFormation, and Terraform.

Provectus is seeking an experienced Solutions Architect to lead data and AI/ML architecture initiatives across cloud and on‑prem platforms. You will drive customer engagements, align technical visions with business goals, and mentor cross‑functional teams.

Responsibilities include guiding data lifecycle processes, ensuring security/compliance, and delivering PoCs for Generative AI and ML solutions. Strong leadership and communication are essential in this client‑facing role.

Provectus, a global AI and cloud consulting company, seeks an ML Solutions Architect to own the full pre-sales cycle, design scalable ML architectures, and craft winning proposals for enterprise clients worldwide.

This senior role involves client-facing technical leadership, mentoring delivery teams, and building reference architectures for agentic AI patterns including RAG and multi-agent systems across LATAM, Europe, and North America.

Provectus is seeking a Senior Technical Lead to drive GenAI-powered solutions, including AI agents, RAG systems, and Python services. You will provide technical leadership, own solution architecture, mentor engineers, and guide projects from discovery to production.

You will lead architecture reviews, support presales, and build production-grade AI systems on AWS and cloud platforms while collaborating with distributed teams across disciplines.

Provectus is seeking an ML Solutions Architect to serve as the technical bridge between clients and delivery teams. You will lead pre-sales technical discussions, design scalable ML architectures, and ensure solutions align with client needs. This role emphasizes agentic AI, tool orchestration, and cutting-edge LLM ecosystems.

Remote-first with travel to client sites. The ideal candidate brings 6–8+ years in ML/data science, strong client-facing experience, and a track record of architecting and

Provectus is seeking a Technical Leader to set ML project direction, define standards and review architectures. You will contribute code to critical components and build reusable ML accelerators while tackling high‑risk technical challenges.

You will mentor junior and mid‑level ML engineers, run code reviews, and guide problem solving. The role offers a fully remote setup with continuous learning support.

Provectus is a global AI and cloud consulting company helping enterprises turn AI and data into production-ready business solutions. We are an official Anthropic partner and an ML Solutions Architect at Provectus leads pre-sales technical discussions, designs ML architectures, and ensures feasible, scalable solutions aligned with client needs.

This is a client-facing, high-impact role focused on agentic AI and tool ecosystems.

Provectus is seeking an experienced ML engineer to design and implement end-to-end ML solutions from experimentation to production. You will build scalable ML pipelines, optimize model performance, and write production‑quality code while collaborating with cross‑functional teams.

The role includes mentoring junior engineers and contributing to internal ML practice development. Candidates should have strong Python skills, experience with ML frameworks, and a track record in MLOps, monitoring, and

Provectus is seeking a seasoned product leader to drive AI/ML product strategy and execution. You will own end‑to‑end lifecycle management for AI solutions, aligning with client KPIs and business objectives while guiding data architecture and governance.

Ideal candidates bring deep GenAI expertise, strong cloud and data stack knowledge, and a proven ability to communicate complex technical concepts to executives and developers alike.