CrawlJobs Logo

ML Solutions Architect (GenAI)

provectus.com Logo

Provectus

Location Icon

Location:
Colombia , Medellín ▼

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

As an ML Solutions Architect, you'll be the technical bridge between clients and delivery teams. You'll lead pre-sales technical discussions, design ML architectures that solve business problems, and ensure solutions are feasible, scalable, and aligned with client needs. This is a highly client-facing role requiring both deep technical expertise and strong communication skills.

Job Responsibility:

  • Pre-Sales and Solution Design (50%): 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
  • Client-Facing Technical Leadership (30%): 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
  • Ensure client satisfaction throughout the project lifecycle
  • Build long-term trusted advisor relationships
  • Internal Collaboration and Handoff (20%): Collaborate with delivery teams to ensure smooth handoff
  • Provide technical guidance during project execution
  • Contribute to the development of reusable solution patterns
  • Share learnings and best practices with ML practice
  • Mentor engineers on client communication and solution design

Requirements:

  • ML Architecture and 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
  • ML Breadth: 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
  • Cloud and Infrastructure: Advanced knowledge of AWS ML and data services
  • Advanced knowledge of GCP ML and data services
  • Multi-Cloud Awareness: Understanding of Azure, GCP alternatives
  • Serverless Architectures: Experience with Lambda, API Gateway, etc.
  • Cost Optimization: Ability to design cost-effective solutions
  • Security and Compliance: Understanding of data security, privacy, and compliance
  • Data Architecture: Understanding of ETL/ELT patterns and tools
  • Knowledge of databases, data lakes, and warehouses
  • Data Quality: Understanding of data validation and monitoring
  • Real-time vs Batch: Ability to design for different data processing needs

Additional Information:

Job Posted:
January 03, 2026

Icon
Provectus - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

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

Briefcase Icon

Similar Jobs for ML Solutions Architect (GenAI)

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

Partner Solutions Architect

As a Partner Solutions Architect on the Applied AI team at Fireworks AI, you'll ...
Location
Location
United States , New York; San Mateo
Salary
Salary:
Not provided
fireworks.ai Logo
Fireworks AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years in technical customer/partner-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, customer facing Data Scientist)
  • Proven ability to both build (write code, create demos, architect solutions) and evangelize (present, teach, build relationships)
  • Python skills and experience with cloud infrastructure (AWS, GCP, Azure)
  • Familiarity with LLM frameworks, ML tooling, or data science background
  • Track record partnering with cloud providers, SIs, or ISVs on complex technical projects
  • Exceptional communication skills across C-suite, engineering teams, and business stakeholders
  • Excitement for fast-paced environments where you balance competing priorities across engineering, partnerships, and sales
Job Responsibility
Job Responsibility
  • Serve as the technical authority and owner between Fireworks partnerships, product, engineering, and sales teams
  • Identify high value partners to develop relationships and build technical integrations with reference architectures
  • Embed with partner technical teams to enable their AI practices and evangelize Fireworks through their developer communities
  • Serve as escalation point for complex technical issues and unblock strategic customer deals
  • Build production-ready demos, reference architectures, and integrations with partner platforms
  • Develop joint solutions for high-value industry-specific GenAI applications
  • Codify best practices to accelerate partner and customer time-to-deployment and first-time-to-value
  • Present and demonstrate Fireworks capabilities at partner events, conferences, and technical workshops
  • Lead partner hands on workshops and developer enablement sessions
  • Drive technical engagement in partner slack channels and developer communities
What we offer
What we offer
  • Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure
  • Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally
  • Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results
  • Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation
  • Fulltime
Read More
Arrow Right

Senior AI Solutions Architect

We’re hiring a hands-on Senior AI Solutions Architect to help shape the future o...
Location
Location
United States , Austin; Reston; Washington
Salary
Salary:
200000.00 - 210000.00 GBP / Year
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience shipping Generative AI solutions in production (not just proofs of concept)
  • Strong Python coding skills (comfortable building glue code, evaluators, metrics)
  • Hands-on knowledge of GenAI toolsets: retrieval-augmented generation, orchestration/agents, fine-tuning, vector search
  • Experience designing & deploying ML solutions on AWS, Azure, or GCP
  • Ability to communicate complex architectures clearly with clients and stakeholders
Job Responsibility
Job Responsibility
  • Turn ideas into outcomes — design, scope, and deliver production-ready GenAI solutions with clear success metrics (quality, latency, ROI, adoption)
  • Prototype & productionise — retrieval, agent, and fine-tuning workflows
  • integrate APIs & data sources
  • stand up evaluations and dashboards
  • Own the client journey — from discovery to delivery, guiding customers through architecture decisions with credibility and clarity
  • Shape best practice — codify patterns, publish explainers, and share pragmatic insights back to Product & GTM
What we offer
What we offer
  • bonus
  • equity
  • Fulltime
Read More
Arrow Right

Senior AI Solutions Architect

We’re hiring a hands-on Senior AI Solutions Architect to help shape the future o...
Location
Location
United States , Northern Virginia
Salary
Salary:
200000.00 - 210000.00 GBP / Year
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience shipping Generative AI solutions in production (not just proofs of concept)
  • Strong Python coding skills (comfortable building glue code, evaluators, metrics)
  • Hands-on knowledge of GenAI toolsets: retrieval-augmented generation, orchestration/agents, fine-tuning, vector search
  • Experience designing & deploying ML solutions on AWS, Azure, or GCP
  • Ability to communicate complex architectures clearly with clients and stakeholders
Job Responsibility
Job Responsibility
  • Turn ideas into outcomes — design, scope, and deliver production-ready GenAI solutions with clear success metrics (quality, latency, ROI, adoption)
  • Prototype & productionise — retrieval, agent, and fine-tuning workflows
  • integrate APIs & data sources
  • stand up evaluations and dashboards
  • Own the client journey — from discovery to delivery, guiding customers through architecture decisions with credibility and clarity
  • Shape best practice — codify patterns, publish explainers, and share pragmatic insights back to Product & GTM
What we offer
What we offer
  • bonus
  • equity
  • Fulltime
Read More
Arrow Right

AI Solutions Architect

We are looking for a highly skilled AI Architect with deep expertise in Generati...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
nstarxinc.com Logo
NStarX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 10 years of experience in ML/AI solution architecture
  • Deep expertise in Generative AI: LLMs, Vision/Video models, Digital Avatars, RAG systems, and multimodal architectures
  • Strong experience in ML engineering, data pipelines, and scalable model APIs
  • Hands-on experience with Nvidia GPU systems, CUDA stack, TensorRT, vLLM/Ollama, and model optimization
  • Experience building AI on edge devices (Intel, AMD, Qualcomm NPUs, AI PCs)
  • Proficiency in AWS and Azure cloud ecosystems, including GPU-based deployments
  • Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow), model serving frameworks, and MLOps tools
  • Proven track record of architecting POC, MVP, and production-grade AI products
  • Strong architectural documentation and diagramming skills (Mermaid, Draw.io, Lucidchart, ArchiMate)
  • Excellent communication skills for client presentations and internal leadership discussions
Job Responsibility
Job Responsibility
  • Design and architect LLM-based systems using both open-source (Llama, Mistral, etc.) and proprietary (OpenAI, Azure OpenAI, Anthropic, etc.) models
  • Architect video-based AI systems, including Digital Human Avatars, Video Generation, Video-to-Text, and multimodal pipelines
  • Build end-to-end GenAI pipelines including data ingestion, preprocessing, retrieval, fine-tuning (LoRA, QLoRA, DAPT), evaluation, guardrailing, and deployment
  • Define and orchestrate data pipelines, ML workflows, vector search architecture, and embedding strategies
  • Build scalable, secure ML engineering wrappers around models (inference servers, orchestration layers, API microservices)
  • Oversee experimentation frameworks, evaluation methodologies, and MLOps integration
  • Architect AI solutions on AWS and Azure (preferred), including GPU clusters, model hosting, DevOps/MLOps, and autoscaling
  • Work with Nvidia GPU server stacks (DGX, H200, H100, L40S) and edge AI systems (Intel, AMD, Qualcomm AI PCs)
  • Optimize AI workloads across heterogeneous compute environments
  • Lead AI architecture across POC → MVP → GA → production-scale phases
What we offer
What we offer
  • Competitive base + commission
  • Fast growth into leadership roles
  • Fulltime
Read More
Arrow Right

ML Tech Lead, GenAI

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...
Location
Location
Salary
Salary:
Not provided
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models)
  • Strong expertise in AWS Cloud Services
  • Strong experience in ML/AI, including at least 2 years in a leadership role
  • Hands-on experience with Python, TensorFlow/PyTorch, and model optimization
  • Familiarity with MLOps tools and best practices
  • Excellent problem-solving and decision-making abilities
  • Strong communication skills and the ability to lead cross-functional teams
  • Passion for mentoring and developing engineers
Job Responsibility
Job Responsibility
  • Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment
  • Drive the roadmap for machine learning projects aligned with business goals
  • Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery
  • Design, develop, and fine-tune LLMs and other machine learning models to solve business problems
  • Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction
  • Stay ahead of advancements in LLMs and apply emerging technologies
  • Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML
  • Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.)
  • Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS
  • Ensure best practices in security, monitoring, and compliance within the cloud infrastructure
Read More
Arrow Right

Data Scientist Specialist

We are seeking a highly experienced Data Scientist Specialist with deep expertis...
Location
Location
United States , McLean
Salary
Salary:
Not provided
apexsystems.com Logo
Apex Systems
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in AI, Data Science, Computer Science, or related field
  • Extensive experience in AI/ML, including 3+ years in applied GenAI or LLM-based solutions
  • Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases, and multi-modal models
  • Proven experience with AWS cloud-native AI development (SageMaker, Bedrock, MLFlow/Kubeflow on EKS)
  • Strong programming skills in Python and ML/LLM libraries (Transformers, LangChain, etc.)
  • Strong understanding of GenAI system patterns, agentic architectures, evaluation frameworks, and guardrails
  • Demonstrated success working in cross-functional, agile teams
  • GitHub code repository link required for candidate evaluation
Job Responsibility
Job Responsibility
  • Architect and implement GenAI systems: Build scalable AI agents, agentic workflows, and GenAI applications for diverse business use cases
  • Model development & optimization: Fine-tune and optimize lightweight LLMs
  • evaluate and adapt models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives
  • RAG & GraphRAG architectures: Design and deploy Retrieval-Augmented Generation (RAG) and GraphRAG systems using vector databases and enterprise knowledge bases
  • Enterprise data curation: Curate and prepare enterprise data using connectors integrated with AWS Bedrock Knowledge Bases and/or Elasticsearch
  • Agent interoperability: Implement solutions leveraging Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication patterns
  • Experimentation & ML platforms: Build and maintain Jupyter-based notebooks using SageMaker, MLFlow, or Kubeflow on Kubernetes (EKS)
  • Cross-functional collaboration: Work with UI engineers, microservices teams, designers, and data engineers to deliver full-stack GenAI experiences
  • Enterprise integration: Integrate GenAI solutions with enterprise platforms via APIs and standardized GenAI architectural patterns
  • Evaluation & safety: Establish evaluation frameworks, bias mitigation strategies, safety protocols, and guardrails for production deployment
What we offer
What we offer
  • medical
  • dental
  • vision
  • life
  • disability
  • other insurance plans
  • ESPP (employee stock purchase program)
  • 401K program with company match after 12 months
  • HSA (Health Savings Account on the HDHP plan)
  • SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions
Read More
Arrow Right

Machine Learning Tech Lead, GenAI

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...
Location
Location
Salary
Salary:
8000.00 USD / Month
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models)
  • Strong expertise in AWS Cloud Services
  • Strong experience in ML/AI, including at least 2 years in a leadership role
  • Hands-on experience with Python, TensorFlow/PyTorch, and model optimization
  • Familiarity with MLOps tools and best practices
  • Excellent problem-solving and decision-making abilities
  • Strong communication skills and the ability to lead cross-functional teams
  • Passion for mentoring and developing engineers
Job Responsibility
Job Responsibility
  • Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment
  • Drive the roadmap for machine learning projects aligned with business goals
  • Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery
  • Design, develop, and fine-tune LLMs and other machine learning models to solve business problems
  • Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction
  • Stay ahead of advancements in LLMs and apply emerging technologies
  • Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML
  • Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.)
  • Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS
  • Ensure best practices in security, monitoring, and compliance within the cloud infrastructure
What we offer
What we offer
  • Annual Performance Bonus: 10% of base salary
  • Sign-In Bonus: USD 8,000 — paid in two installments: 50% upon start (USD 4,000) 50% upon completion of trial period (USD 4,000)
Read More
Arrow Right
Welcome to CrawlJobs.com –
Your Global Job Discovery Platform
At CrawlJobs.com, we simplify finding your next career opportunity by bringing job listings directly to you from all corners of the web. Using cutting-edge AI and web-crawling technologies, we gather and curate job offers from various sources across the globe, ensuring you have access to the most up-to-date job listings in one place.
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Poland Jobs Ireland Jobs Germany Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy