ML Solutions Architect (GenAI) jobs in United States
cer-icon
Apply on Employer Site
company-logo

Provectus · 1 day ago

ML Solutions Architect (GenAI)

Provectus is seeking an ML Solutions Architect to serve as the technical bridge between clients and delivery teams. In this client-facing role, you will lead pre-sales discussions, design ML architectures, and ensure solutions meet client needs while being feasible and scalable.

Artificial Intelligence (AI)Health InsuranceInformation TechnologyInsuranceMedia and EntertainmentPharmaceuticalRetail Technology
check
H1B Sponsor Likelynote

Responsibilities

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
Ensure client satisfaction throughout the project lifecycle
Build long-term trusted advisor relationships
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

Qualification

ML ArchitectureML LifecycleAWS ExpertiseGCP ExpertiseMLOpsDeep LearningData PipelinesData StorageTrade-off AnalysisFeasibility AssessmentClassical MLMulti-Cloud AwarenessServerless ArchitecturesCost OptimizationSecurityComplianceData QualityReal-time vs Batch

Required

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
Advanced knowledge of AWS ML and data services
Advanced knowledge of GCP ML and data services
Understanding of Azure, GCP alternatives
Experience with Lambda, API Gateway, etc
Ability to design cost-effective solutions
Understanding of data security, privacy, and compliance
Understanding of ETL/ELT patterns and tools
Knowledge of databases, data lakes, and warehouses
Understanding of data validation and monitoring
Ability to design for different data processing needs

Company

Provectus

twittertwittertwitter
company-logo
Provectus is an Artificial Intelligence consultancy and solutions provider helping businesses achieve their objectives through AI.

H1B Sponsorship

Provectus has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
2023 (1)
2022 (4)
2021 (1)
2020 (2)

Funding

Current Stage
Growth Stage

Leadership Team

leader-logo
Stepan Pushkarev
Co-founder, CTO/CEO
linkedin
leader-logo
Nick Antonov
Board Member and Founder
linkedin
Company data provided by crunchbase