ML Solutions Architect Job at Provectus (Medellín)

ML Solutions Architect

As an ML Solutions Architect, you'll be the technical bridge between clients and...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Solution Design: Ability to architect end-to-end ML systems for diverse business problems
ML Lifecycle: Deep understanding of the full ML lifecycle from data to deployment
System Design: Experience designing scalable, production-grade ML architectures
Trade-off Analysis: Ability to evaluate technical approaches (cost, performance, complexity)
Feasibility Assessment: Quickly assess if ML is an appropriate solution for a problem
Agentic Architecture: Deep understanding of agent design patterns, state management, and orchestration frameworks
Claude Ecosystem: Hands-on experience with Claude Code, Claude Agent SDK, and Anthropic's tool ecosystem
MCP Proficiency: Understanding of Model Context Protocol architecture for designing client integrations
Agent Frameworks: Practical knowledge of LangGraph, LangChain agents, and multi-agent orchestration patterns
AI-Assisted Workflows: Demonstrated experience with AI coding assistants (Cursor, GitHub Copilot, Claude Code) for rapid prototyping

Job Responsibility

Lead technical discovery sessions with prospective clients
Understand client business problems and translate them into ML solutions
Design end-to-end ML architectures and technical proposals
Create compelling technical presentations and demonstrations
Estimate project scope, timelines, cost, and resource requirements
Support General Managers in winning new business
Serve as the primary technical point of contact for clients
Manage technical stakeholder expectations
Present technical solutions to both technical and non-technical audiences
Navigate complex organizational dynamics and conflicting priorities

What we offer

High-visibility role working with diverse clients
Opportunity to shape solution offerings and practice direction
Work with cutting-edge ML, LLM, and agentic AI technologies
Global exposure across LATAM, Europe, and North America
Career path toward Practice Leadership or Principal Architect
Learning budget and conference attendance
Remote-first with regular client travel opportunities
Compensation for health insurance or sports coverage
Access to the latest AI tools and subscriptions for professional development

Fulltime

New

Ai Solutions Architect, Sled Focused For North America

We are currently seeking a AI Solutions Architect, SLED focused for North Americ...

Location

United States , Plano

Salary:

119578.00 - 221625.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

15+ years of experience in designing and developing AI/ML solutions
10+ years of experience in state/local government and/or education

Job Responsibility

Set the industry strategy for SLED AI solutions and define a multi-year roadmap
Develop and enhance AI solution offerings in areas including case management, eligibility and benefits administration, cloud cybersecurity and infrastructure modernization, payment integrity / fraud waste and abuse
Drive growth by leading solution development supporting sales teams and winning complex multi-tower deals
Engage Provider C-suite leaders as a trusted advisor on major programs
Lead solution development for bids ensuring offerings are differentiated scalable and executable
Collaborate across consulting delivery engineering and product teams to bring integrated solutions to market
Strengthen alliances with key partners (Epic Oracle Health Microsoft AWS ServiceNow cybersecurity vendors Google Leading AI players)
Build and mentor a high-performing team of AI leaders
Develop sales collateral for all solutions and services catering to SLED clients

What we offer

medical insurance
dental insurance
vision insurance
flexible spending or health savings account
life and AD&D insurance
short and long term disability coverage
paid time off
employee assistance
participation in a 401k program with company match

Fulltime

Solutions Architect (GenAI, Python/Data, AWS)

What You’ll Do: Design and build cloud-native data, LLM-based, and agentic AI s...

Location

Ukraine;Poland;Serbia;Spain;Slovakia;Slovenia , Yerevan

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Mindset
Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure
Already using AI tools in your daily workflow (Claude Code, Copilot, or similar)
Proactive and self-directed
you own outcomes end-to-end and spot problems before they're handed to you
B2+ English, comfortable collaborating across distributed, multicultural teams
Presales & Client Engagement
Owns the client technical relationship
leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget
Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks

Job Responsibility

Design and build cloud-native data, LLM-based, and agentic AI solutions addressing real client business challenges
Implement and optimize RAG systems for production use cases
Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor
Support presales: discovery calls, technical proposals, scoping, and client-facing demos
Own the technical direction of client engagements from discovery through delivery — the go-to authority for clients and the internal team
Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs
Build and maintain ETL/ELT workflows using modern orchestration and distributed computing tools
Deploy ML and LLM-based solutions
Implement MLOps, LLMOps, and AgentOps practices: CI/CD, automated testing, model monitoring, and experiment tracking
Lead architecture reviews, produce technical design documents, and contribute to standards

What we offer

Opportunity to work with cutting-edge AI and cloud solutions
Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications
Career growth: a clear path toward SA or beyond
we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Remote with flexible hours
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work

Fulltime

Senior Artificial Intelligence (AI) Solutions Architect

The Senior AI Solutions Architect will serve as a key technical leader responsib...

Location

United States , Los Angeles

Salary:

190000.00 - 200000.00 USD / Year

Robert Half

Expiration Date

Until further notice

Requirements

Strong hands-on experience designing and deploying AI/ML or LLM-based systems
Proficiency in programming languages such as Python, TypeScript, or similar
Experience with API design, integration patterns, and modern data architectures
Strong knowledge of cloud-native architectures (Azure or similar platforms preferred)
Experience with AI orchestration, retrieval-augmented generation (RAG), or agent-based systems
Ability to translate business needs into technical solutions and drive execution
Excellent communication skills with experience working across technical and business stakeholders

Job Responsibility

Architect and deploy scalable AI systems, integrations, and enterprise-grade solutions
Design and implement AI orchestration workflows, including agent-based and context-aware systems
Develop and manage LLM-powered applications and integrations across business platforms
Partner with cross-functional stakeholders to identify AI opportunities and drive measurable business impact
Establish governance, best practices, and standards for AI workflows and system architecture
Lead integration efforts across enterprise platforms such as ERP, HRIS, and supply chain systems
Contribute to AI strategy and roadmap development alongside senior technology leadership
Mentor and guide engineers, fostering technical excellence and best practices
Promote AI adoption through internal education, advocacy, and knowledge sharing
Evaluate emerging tools and technologies to continuously enhance AI capabilities and scalability

What we offer

Discretionary bonus
Annual bonus eligibility
Comprehensive medical, dental, and vision coverage
Competitive benefits and employee-focused perks

Fulltime

Ai/Ml Solutions Architect

As an AI/ML Solutions Architect, you'll be the technical bridge between clients ...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Solution Design: Ability to architect end-to-end ML systems for diverse business problems
ML Lifecycle: Deep understanding of the full ML lifecycle from data to deployment
System Design: Experience designing scalable, production-grade ML architectures
Trade-off Analysis: Ability to evaluate technical approaches (cost, performance, complexity)
Feasibility Assessment: Quickly assess if ML is an appropriate solution for a problem
Multiple ML Domains: Experience across various ML applications (RAG, Computer Vision, Time Series, Recommendation, etc.)
LLM Solutions: Strong experience in architecting LLM-based applications
Classical ML: Foundation in traditional ML algorithms and when to use them
Deep Learning: Understanding of neural network architectures and applications
MLOps: Knowledge of production ML infrastructure and DevOps practices

Job Responsibility

Lead technical discovery sessions with prospective clients
Understand client business problems and translate them into ML solutions
Design end-to-end ML architectures and technical proposals
Create compelling technical presentations and demonstrations
Estimate project scope, timelines, cost, and resource requirements
Support General Managers in winning new business
Serve as the primary technical point of contact for clients
Manage technical stakeholder expectations
Present technical solutions to both technical and non-technical audiences
Navigate complex organizational dynamics and conflicting priorities

Data & AI Solutions Architect

We are looking for an experienced Data & AI Solutions Architect with strong expe...

Location

Romania , Bucuresti

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field
Minimum 8 years in data engineering / architecture, with several years specifically on GCP in banking or financial services
Strong hands-on experience with GCP services, especially: Composer, Dataflow, Dataform, BigQuery
Solid understanding of: Data modeling (dimensional, data vault, etc.), Streaming and batch architectures
Experience designing scalable cloud-native architectures
Practical experience with Vertex AI or similar platforms
Understanding of ML lifecycle and MLOps practices
Experience implementing data governance frameworks
Strong knowledge of cloud security principles and IAM
Ability to produce clear technical documentation and architecture diagrams

Job Responsibility

Design end-to-end data and analytics architectures on GCP, ensuring scalability, performance, and cost efficiency
Define solution blueprints, architectural patterns, and best practices for data platforms and AI-driven solutions
Create and maintain architecture documentation, including diagrams, technical specifications, and design decisions
Collaborate with stakeholders to translate business requirements into technical solutions and roadmaps
Architect and oversee the implementation of data pipelines and workflows using: Cloud Composer (Airflow), Dataflow (Apache Beam), Dataform, BigQuery
Design robust ETL/ELT pipelines, batch and stream processing solutions
Optimize data storage, processing models, and query performance in BigQuery
Ensure high data quality, reliability, and availability across pipelines
Design and integrate AI/ML solutions using: Vertex AI, General machine learning frameworks and tools
Enable use cases such as predictive analytics, automation, and intelligent decision-making

What we offer

Smooth integration and a supportive mentor
Pick your working style: choose from Remote, Hybrid or Office work opportunities
Early bird or night owl? Our projects have different working hours to suit your needs
Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms
Private Health Insurance – it’s custom-made for you
Attend individual coaching sessions or join our accredited Coaching School
Epic parties or themed events – lovingly designed for our people and their families

Fulltime

Solutions Architect

Meet the Team The Cisco Cloudx Ops team is a dynamic group of developers, Sol...

Location

India , Bangalore

Salary:

Not provided

Duo Security

Expiration Date

Until further notice

Requirements

Bachelor’s degree + 10 years of related experience, or Master’s degree + 8 years in Computer Science, Data Science, or a related technical field
6+ years of experience as a solutions architect, systems architect, or in a related IT architecture role with deep knowledge of AWS, Azure, and GCP
At least 2 years of experience building and deploying ML models focused on cloud operations
Strong experience with Python, PySpark, and ML libraries (PyTorch, TensorFlow, or Scikit-Learn)
Validated experience with AWS Glue, AWS Athena, Snowflake, and orchestrating complex workflows using Apache Airflow DAGs
Proficiency in automation languages (e.g., Terraform, Ansible, CloudFormation)

Job Responsibility

Strategic Architecture: Architect, design, and implement organizational policies, solutions and frameworks to support multi-tenancy Azure, GCP and AWS environments
Data & AI Infrastructure: Design, build, and maintain scalable ETL pipelines using AWS Glue, Apache Airflow, and Snowflake. Architect AI-driven agents and predictive models for drift detection, cost anomaly detection, and cloud resource forecasting
Intelligent Automation: Lead the development of AI/ML-driven automation to monitor and optimize cloud environments, integrating insights from Cloud Service Providers with internal data platforms
Leadership & Mentorship: Provide technical leadership in design sessions and code reviews. Mentor Cloud Service Engineers and developers to develop a supportive, high-performance work environment
Governance & FinOps: Partner with the Security and Trust Organization to carry out compliance guardrails. Collaborate with the Cloud FinOps team to align on cost models and drive architectural refactoring for cost efficiency
multi-functional Collaboration: Work with IT, engineering, and business collaborators to deliver impactful projects, including acquisition integration activities and the adoption of modern DevOps/CI/CD practices
Operational Excellence: Maintain comprehensive documentation, execution roadmaps, and best-practice guidelines to standardize cloud administration and AI/ML integration at scale
Experience with Agile and DevOps operating models, including project tracking tools (e.g., Jira), Git (any Version Control systems), and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins)

Fulltime

Technical Solutions Architect

As an organisation, we push the boundaries of data science, optimisation and art...

Location

United Kingdom , London

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

Having an excellent understanding of Java, Typescript and/or Python, currently our core cloud languages
Industry experience with an Infrastructure-as-Code platform (e.g. Cloudformation, Terraform)
A strong understanding of both serverless development and containerisation approaches to deploying software to the cloud
Having in-depth knowledge of at least one cloud platform (e.g. GCP, AWS, Azure), including an understanding of appropriate technologies for a given use case
Experience writing enterprise quality solutions, with extensive experience and familiarity with how enterprise software solutions fit into a wider technical landscape
Having a solid understanding of traditional Design Patterns and the ability to adapt these to the AI world
Being a strong proponent for rigorous quality processes, automated testing and IaC principles
Having excellent written, spoken and diagrammatic communication skills, with the ability to convey technical and abstract principles to technical and non-technical audiences
Experience of creating robust CI/CD pipelines that fully automate testing and release processes

Job Responsibility

Creating enterprise-quality solutions, with extensive experience and familiarity with how enterprise software solutions fit into a wider technical landscape
Creating serverless solutions to execute data science and ML models
Creating cloud IaC deployment code
Guiding a team of Optimisers, Data Scientists, Data Engineers, Cloud Engineers and QA Engineers
Understanding and relating customer/business needs to the technical solutions we create
Liaising with the customer, product owners and business analysts to ensure that the work we are doing is correct and architecturally sound
Making technology and approach choices to meet NFRs whilst delivering good value for money

What we offer

Enhanced pension
Life assurance
Income protection
Private healthcare
Remote working
Truly flexible working hours
27 days holiday plus bank holidays
Enhanced family leave
Annual bonus
Focus on bringing meaningful social and environmental change

Fulltime

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ML Solutions Architect

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