Machine Learning Solution Architect Job at Provectus

Ai Solution Architect

We are looking for a Solution Architect, Partner Development to help drive, nurt...

Location

Singapore

Salary:

195000.00 - 265000.00 USD / Year

Arize

Expiration Date

Until further notice

Requirements

Strong communication skills
A quick and self learner
5+ years of partnership, alliances, enterprise or channel sales experience
Hands on knowledgeable in AI and it’s software ecosystem
Bonus Points, But Not Required: Previous alliance partner experience gained within the Cloud/Saas space and selling into the following departments: Software Engineering, Data Science, Machine Learning

Job Responsibility

Own our partnerships
You are the trusted advisor to the customer
Act as a Domain Expert within AI/ML

What we offer

medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support
WFH monthly stipend to pay for co-working spaces
competitive equity package

Fulltime

Sr. Delivery Solutions Architect

At Databricks we are on a mission to empower our customers to solve the world's ...

Location

South Korea , Seoul

Salary:

Not provided

databricks

Expiration Date

Until further notice

Requirements

8+ years in a customer-facing pre-sales, technical architecture, customer success, or consulting role
Experience understanding architecture related distributed data systems, specifically within one of the following: Data Engineering technologies (e.g. Spark, Hadoop, Kafka)
Data Warehousing (e.g. SQL, OLTP/OLAP/DSS)
Data Science and Machine Learning technologies (e.g. pandas, scikit-learn, HPO)
Comfortable managing multiple projects at once, and engaging a virtual team of subject matter experts
Influencing and leading teams - especially without having direct reporting line responsibility
Executive Stakeholder management - experience in effectively engaging and influencing a variety of audiences at all levels of an organization with particular success in building and maintaing strong CxO level relationship
Executive escalation management - experience in resolving complex and critical escalation with senior customer and internal executives
Strategic Management Consulting - experience of conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
Building and steering to a value case - business value consulting and realization

Job Responsibility

Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritized customers
Own the Post-Technical Win technical account strategy and investment plan for the majority of Databricks Use Cases within our most strategic accounts
Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty/ambiguity and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
Be the first point of contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account
Leverage both Shared Services of User Education, Onboarding/Technical Services and Support resources, along with escalating to Level 400/500 technical experts to execute on the right tasks that are beyond your scope of activities or expertise
Create, own and execute a PoV as to how key use cases can be accelerated into production, bringing EM/PM in to prepare Professional Services proposals
Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs
Build and maintain an executive level as well as a detailed programme level success plan that covers all activities of Customer, PS, Partner, SSA, Product Specialist, SA
Proactively provide internal and external updates - KPI reporting on the status of consumption and customer health, covering investment status, key risks, product adoption and use case progression - to your Technical GM
Development of reusable and scalable assets and mentorship of junior team members to establish the DSA team

AI Solutions Architect

We are looking for a highly skilled AI Architect with deep expertise in Generati...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

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

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

Competitive base + commission
Fast growth into leadership roles

Fulltime

AI Solution Architect

Design expert responsible for creating end-to-end solution architectures that in...

Location

India , Chennai

Salary:

Not provided

Hogarth

Expiration Date

Until further notice

Requirements

Expert knowledge of enterprise integration patterns
Hands-on experience designing and implementing solutions using agentic frameworks (LangGraph, CrewAI, Microsoft AutoGen, Semantic Kernel)
Proficiency in working with vector stores and Retrieval-Augmented Generation (RAG) models
Experience designing AI systems on cloud platforms (Azure, AWS, GCP) with capabilities for hybrid deployments
Ability to align solution architecture with business and enterprise architecture using methodologies such as TOGAF
Strong knowledge in designing RESTful, GraphQL, and gRPC APIs, and applying microservices architecture principles
Understanding of enterprise-grade security requirements, including encryption, identity and access management (IAM), SOC2/GDPR compliance
7–12 years solution architecture
3+ years AI/ML systems
Enterprise experience required

Job Responsibility

Design enterprise-grade agentic AI solutions
Create integration strategies with existing systems
Define multi-agent communication patterns
Establish security and governance models
Conduct technology assessments and recommendations
Create technical documentation and standards
Support pre-sales and client technical engagements

What we offer

Attractive package
relocation benefits

Fulltime

AI Solution Architect

Andersen is hiring an AI Solution Architect in Germany to design and integrate s...

Location

Germany

Salary:

Not provided

Andersen

Expiration Date

Until further notice

Requirements

Experience in software engineering for 10+ years with at least 3-4 years in AI/ML solution design
Strong expertise in designing LLM/GenAI architectures, including model selection, serving, orchestration and scaling
Practical experience with Python and modern AI frameworks (PyTorch, TensorFlow, JAX)
Deep understanding of transformer models, embeddings, vector search and RAG architectures
Experience designing agent-based systems and AI orchestration frameworks (LangGraph, LangChain, AutoGen or equivalents)
Hands-on experience with MLOps practices, model lifecycle management, versioning and monitoring
Knowledge of vector databases (FAISS, Milvus, Pinecone, Chroma) and search optimization techniques
Experience designing high-availability AI inference services using vLLM, Triton, TensorRT or similar serving technologies
Solid understanding of cloud environments for AI workloads (AWS/GCP/Azure), GPU/accelerator usage and cost optimization
Ability to translate business requirements into AI solution architectures, integration patterns and technical specifications

Job Responsibility

Defining the overall architecture and technical strategy for AI/GenAI systems, ensuring scalability, robustness and alignment with organizational standards
Selecting appropriate models, frameworks, serving stacks and infrastructure components for AI workloads
Designing end-to-end RAG, vector search and agent-based AI solutions, including data flows, orchestration logic and system boundaries
Overseeing model lifecycle processes: training, fine-tuning, evaluation, deployment, monitoring and continuous improvement
Providing architectural guidance to development teams and ensuring consistent implementation across projects
Preparing architectural documentation, diagrams, guidelines and decision records
Collaborating with security, data, infrastructure and product teams to ensure compliance, reliability and performance
Evaluating new AI technologies, tools and frameworks and assessing their relevance for the organization's ecosystem
Reviewing complex incidents, performance issues and design flaws, providing direction for remediation and optimization
Supporting procurement and vendor evaluation for AI platforms, hosting, data systems or model providers

What we offer

Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others
The opportunity to change the project and/or develop expertise in an interesting business domain
Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant
Guarantee of professional, financial, and career growth
The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities
Access to the corporate training portal
Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies)
Certification compensation (AWS, PMP, etc)
Referral program
English courses

Cloud Solution Architect

Leading delivery of Data Integration and Analytics solutions for our customers p...

Location

Mexico

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

At least 10 years of overall experience in IT commercial projects, including at least 4 years in the role of a Solution Architect
Expertise in at least one of following cloud platforms – Azure, AWS, GCP
Deep understanding and hands-on experience with Data Engineering cloud resources
Expertise in Data Integration/Engineering and Analytics concepts, including knowledge of current design and technological trends
Competency with Business Intelligence/Reporting solutions (e.g. Power BI)
Ability to design solutions involving Machine Learning and GenAI capabilities
Software Development foundation, with a focus on applying established design patterns to build robust, scalable, and maintainable web applications
Familiarity with CI/CD process setup and resource provisioning techniques, including Terraform/IaC principles
Experience in customer facing roles (incl. presales activities) and working in international team setup
Good organizational and priority management skills

Job Responsibility

Leading delivery of Data Integration and Analytics solutions for our customers provided within major cloud platforms (Azure/AWS/GCP)
Preparing a complete solution design
Taking responsibility for critical technological decisions
Providing continuous architectural and technical design support to the application development team
Leading application development at all lifecycle stages – POC, MVP, full-scale PROD solutions
Providing mid- and long-term application development/growth strategy
Proactively identifying and proposing solutions to mitigate project risks
Directly facing our customers for ongoing project and presales matters
Cooperating with internal and client teams in international setup
Defining development standards and frameworks

What we offer

Medical Insurance
Grocery Coupons
Saving fund
30 days of Christmas bonus
Remote work bonus
Profit sharing
50% vacation premium
100% remote
Flexibility regarding working hours
Comprehensive online onboarding program with a “Buddy” from day 1

Fulltime

ML Solution Architect

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia; Costa Rica , Medellín; Bogotá; Cali

Salary:

Not provided

Provectus

Expiration Date

Until further notice

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

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

Senior Machine Learning Engineer

At Cresta, we are dedicated to building state-of-the-art Machine Learning system...

Location

United States; Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field
5+ years of hands-on experience building and deploying ML models in production
Strong knowledge of ML frameworks and NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK)
Solid experience with modern ML techniques including transformer architectures, embeddings, retrieval systems, and large-scale model training
Experience designing and deploying Retrieval-Augmented Generation pipelines for enterprise use cases
Familiarity with evaluation and benchmarking frameworks for ML/LLM models
Strong passion for AI-driven innovation, with a proven ability to deliver impactful, production-grade solutions

Job Responsibility

Build and optimize agentic AI workflows that enable users to dynamically interact with and refine outputs from ML systems
Research and implement advanced ML and NLP techniques, including transformer-based models, embeddings, and retrieval-augmented generation
Develop evaluation frameworks to assess accuracy, robustness, and usability of ML/LLM models in production environments
Design, train, and deploy machine learning models for tasks such as classification, entity identification, information extraction, retrieval, topic discovery, and structured insight generation
Architect and optimize RAG pipelines for grounding LLMs with enterprise data to ensure accuracy and reliability
Collaborate with engineers, UX designers, and product managers to integrate AI-driven capabilities into Cresta’s platform
Optimize ML pipelines and data processing systems to operate efficiently at scale

What we offer

We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
Paid parental leave to support you and your family
Monthly Health & Wellness allowance
Work from home office stipend to help you succeed in a remote environment
Lunch reimbursement for in-office employees
PTO: 3 weeks in Canada
Compensation for this position includes a base salary, equity, and a variety of benefits

Fulltime

Machine Learning Solution Architect

Provectus

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 26, 2026

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