CrawlJobs Logo

ML Solution Architect

provectus.com Logo

Provectus

Location Icon

Location:
Colombia; Costa Rica , Medellín

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. With offices in North America, LATAM, and EMEA, Provectus partners with clients around the world and is obsessed with leveraging cloud, data, and AI to reimagine the way clients operate & compete.

Job Responsibility:

  • 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

Requirements:

  • 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 the ability 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 any of backend 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

Nice to have:

  • 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

Additional Information:

Job Posted:
January 03, 2026

Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for ML Solution Architect

ML Solution Architect

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...
Location
Location
Colombia; Costa Rica , Medellín; Bogotá; Cali
Salary
Salary:
Not provided
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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 the ability 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
Job Responsibility
Job Responsibility
  • 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
Read More
Arrow Right

ML Solutions Architect

As an ML Solutions Architect, you'll be the technical bridge between clients and...
Location
Location
Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga
Salary
Salary:
Not provided
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ability to architect end-to-end ML systems for diverse business problems
  • Deep understanding of the full ML lifecycle from data to deployment
  • Experience designing scalable, production-grade ML architectures
  • Ability to evaluate technical approaches (cost, performance, complexity)
  • Quickly assess if ML is an appropriate solution for a problem
  • Experience across various ML applications (RAG, Computer Vision, Time Series, Recommendation, etc.)
  • Strong experience in architecting LLM-based applications
  • Foundation in traditional ML algorithms and when to use them
  • Understanding of neural network architectures and applications
  • Knowledge of production ML infrastructure and DevOps practices
Job Responsibility
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
Read More
Arrow Right

ML Solutions Architect

As an ML Solutions Architect, you'll be the technical bridge between clients and...
Location
Location
Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga
Salary
Salary:
Not provided
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ability to architect end-to-end ML systems for diverse business problems
  • Deep understanding of the full ML lifecycle from data to deployment
  • Experience designing scalable, production-grade ML architectures
  • Ability to evaluate technical approaches (cost, performance, complexity)
  • Quickly assess if ML is an appropriate solution for a problem
  • Experience across various ML applications (RAG, Computer Vision, Time Series, Recommendation, etc.)
  • Strong experience in architecting LLM-based applications
  • Foundation in traditional ML algorithms and when to use them
  • Understanding of neural network architectures and applications
  • Knowledge of production ML infrastructure and DevOps practices
Job Responsibility
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
Read More
Arrow Right

ML Solution Architect

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...
Location
Location
Colombia; Costa Rica , Medellín; Bogotá; Cali
Salary
Salary:
Not provided
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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 the ability 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
Job Responsibility
Job Responsibility
  • 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
Read More
Arrow Right

Data Solution Architect

The Data Solution Architects work in the Data Architecture practice within the C...
Location
Location
Salary
Salary:
Not provided
admiralgroup.co.uk Logo
Admiral Group Plc
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Recognised expertise in Data Architecture & Strategy, the technology involved, current developments, the most commonly available products, and the application of Architecture within the data domain
  • Take innovative approaches to problem solving and/or devising inventive and creative solutions
  • Strong stakeholder management, ability to communicate at all levels to ensure business and technical objectives are met
  • Keep organisational objectives and strategies in mind and ensuring courses of action are aligned with the strategic context
  • Understand commercial considerations and ensure solutions reflect them when making decisions or recommending actions
  • Proactive approach, anticipating opportunities for improvement or development and taking appropriate action(s)
  • Proven experience working in a number of data domains (e.g. BI & Analytics, AI & ML, Master Data Management, Integration, Data Modelling, Data Quality and Governance)
  • Experience producing Data Solution Architecture documents and High-Level Designs
Job Responsibility
Job Responsibility
  • Together with Lead Solution Architects, provide strong technical solutions for value streams and the data domain, own those solutions from ideation to delivery, and ensure that business value can be realised through the correct implementation of the solutions
  • Lead and contribute to governance forums, ensuring solutions adhere to established standards and patterns, identifying and controlling divergences, and escalating where necessary
  • Build productive relationships with technical, business and data stakeholders to maintain alignment of technology and business strategies
  • Contribute to and help maintain a detailed understanding of the architecture for the data domain
  • Produce documentation of a high-quality and to a detailed level, ensuring that all decision points, building blocks, principles, rationale, roadmaps, and all interdependencies are understood, documented, and communicated across value streams
  • Contribute to the architecture and data modelling repositories using the Admiral architecture and data modelling tools
  • Write, or contributes to, articles, and papers and speak at conferences, user groups, or specialist subject groups on topics involved in Architecture. Play a leading role in special interest groups concerned within the data domain
What we offer
What we offer
  • Everyone receives 33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays)
  • You also have the option to buy or sell up to an additional five days of annual leave
  • Eligible for up to £3,600 of free shares each year after one year of service
  • Financial & Mortgage Advice
  • 24-Hour Ecare
  • Cycle to Work Scheme
  • Annual Holiday Allowance
  • Flexible Working
  • Simply Health
  • Private Health Cover
  • Fulltime
Read More
Arrow Right

Solution Architect - Digital Services

We are looking for a visionary Solution Architect to lead enterprise-grade digit...
Location
Location
India , Chennai City Corporation
Salary
Salary:
Not provided
optisolbusiness.com Logo
OptiSol Business Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s/Master’s in Computer Science, Engineering, or related field
  • Strong programming experience in .NET, Python, Java, or Node.js
  • Hands-on experience with AWS or Azure, microservices, micro frontend, API gateways, and messaging systems
  • Knowledge of GenAI apps (LLMs, embedding, prompt chaining), ML workflows, REST APIs, and event-driven architectures
  • Experience with database modernization, schema optimization, migration tools (Flyway, Liquibase), and cloud-native database platforms
  • Familiarity with containerization (Docker), orchestration (Kubernetes), and secure SDLC practices
  • Awareness of cloud security, compliance, and cost optimization
  • Ability to integrate security considerations throughout the SDLC, including threat modeling and secure coding practices
  • Experience conducting security assessments (SAST, DAST, vulnerability scanning)
Job Responsibility
Job Responsibility
  • Lead solution architecture and design for key projects, delivering accurate estimates and coordinating with architects across solution, infrastructure, and data disciplines
  • Collaborate with delivery teams, production support, QA, infrastructure, and stakeholders to transform requirements into scalable, secure, and cloud-native solutions
  • Define and enforce technical best practices, standards, and security guidelines while conducting quality assurance, automated code review, and design/code reviews
  • Mentor engineers and guide teams through complex technical challenges, promoting modular design, secure coding practices, and professional growth
  • Drive modernization initiatives including refactoring, containerization, microservices adoption, and database migration, including migration from legacy RDBMS to cloud-native or NoSQL solutions
  • Integrate AI/ML and GenAI components (LLMs, embedding, vector databases, prompt engineering) into enterprise workflows and design innovative GenAI-enabled applications
  • Continuously assess and recommend tools, frameworks, and platforms to meet evolving project needs efficiently, ensuring alignment with business objectives
What we offer
What we offer
  • Opportunity to architect next-generation enterprise solutions integrating GenAI, cloud-native, and modernization strategies
  • Collaborate with expert teams across engineering, AI/ML, and cloud practices
  • Leadership visibility, continuous learning opportunities, and access to certifications
  • Fulltime
Read More
Arrow Right

AI/ML Enterprise Solution Architect

As an AI/ML Enterprise Solution Architect – HPE and NVIDIA Alliance (APAC) for t...
Location
Location
Singapore , Central Singapore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years in technical architecture, presales, or solution architecture roles within AI, HPC, or data infrastructure
  • Strong working knowledge of NVIDIA technologies (DGX, HGX, NVLink, CUDA, NGC, Ai tool with nim, nemo, Omniverse platform, etc.)
  • Experience architecting AI or HPC solutions in enterprise or cloud/hybrid environments
  • Comfortable engaging both technical and executive stakeholders, from CIOs to principal engineers
  • Familiarity with AI frameworks (TensorFlow, PyTorch), container orchestration (Kubernetes), and MLOps a strong plus
  • Ability to influence regional teams across multiple cultures and time zones
  • Exceptional communication and storytelling skills to translate technical value into business outcomes
  • Bachelor’s or master’s degree in computer science, Engineering, or related field
  • MBA a plus
Job Responsibility
Job Responsibility
  • Act as the technical lead for NVIDIA solutions (HGX, NVIDIA AI Enterprise, CUDA stack) within the HPE alliance GTM in APAC
  • Collaborate with regional sales teams to position HPE-NVIDIA joint solutions in key customer opportunities
  • Support lighthouse accounts and pilot programs by providing architecture guidance, proof-of-concept oversight, and solution differentiation
  • Partner with NVIDIA and HPE technical teams to localize and scale global offerings such as AI Factory, RAG blueprints, and PCAI
  • Deliver technical enablement across HPE and NVIDIA field sellers, presales engineers, and partner ecosystems
  • Serve as a trusted advisor to customers on emerging AI infrastructure needs, workload optimization, and deployment patterns
  • Drive technical alignment with NVIDIA’s solution architects and GPU-accelerated software stack teams
  • Provide feedback from the field to influence joint solution roadmaps, content development, and strategic investments
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

AI ML Architect

At 3Pillar, culture is more than a buzzword. The power of culture, teamwork, and...
Location
Location
Salary
Salary:
Not provided
3pillarglobal.com Logo
3Pillar Global
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 12+ years of industry experience in machine learning or data science, with a track record of delivering impactful projects
  • a Ph.D. is highly desirable
  • Strong grasp of AI architecture patterns (RAG, agent-based systems, prompt orchestration)
  • Deep experience with Python, ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow)
  • Hands-on with Gen AI APIs (OpenAI, Claude, Gemini), prompt engineering, embeddings, and fine-tuning
  • Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker Pipelines)
  • Familiarity with APIs, microservices, and containerization (Docker, Kubernetes)
  • Experience in Data Governance, Model Risk Management, and compliance
  • Extensive knowledge of machine learning theory, algorithms, and methodologies
  • Strong leadership and communication skills, with the ability to influence stakeholders at all levels of the organization
Job Responsibility
Job Responsibility
  • Define end-to-end architecture for AI/ML and Gen AI systems including data pipelines, model training/inference, and MLOps
  • Serve as a strategic technical advisor to clients, leading solution design discussions, presenting AI/ML architectures, and representing 3Pillar in client-facing interactions to drive innovation and business value
  • Architect scalable solutions using cloud-native AI tools (Azure ML, AWS SageMaker, or GCP Vertex AI)
  • Lead the integration of Generative AI into components / features leveraging LLMs into enterprise applications using APIs (OpenAI, Gemini and others) or open source models like LLama
  • Design retrieval-augmented generation (RAG) systems with vector databases (Pinecone, Weaviate, FAISS and similar)
  • Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and automated retraining
  • Evaluate build-vs-buy decisions and benchmark AI tools/platforms
  • Evaluate emerging technologies and trends in AI, ML, Gen AI space and recommend adoption strategies
  • Mentor technical teams and guide solution architects, data engineers, and ML engineers
  • Ensure ethical and responsible AI practices including bias detection, interpretability, and governance
What we offer
What we offer
  • Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach
  • You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams
  • We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best
  • Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries
  • We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally
  • Fulltime
Read More
Arrow Right