ML Practice Leader (GenAI) Job at Provectus

Principal Engineer, AI Strategy and Innovation

Shape the architecture and execution of CLEAR’s AI platform strategy, from infra...

Location

United States , New York

Salary:

250000.00 - 290000.00 USD / Year

Clear

Expiration Date

Until further notice

Requirements

12+ years in software engineering and/or technical experience with deep expertise in AI systems, ML platforms, and data infrastructure
At least 5 years of experience with various AI technologies including GenAI, ML, Deep Learning, RPA or others
Proven ability to scale AI capabilities into high-throughput, low-latency environments
Strong technical background in cloud-native architectures (AWS or similar) and modern AI/ML stacks (TensorFlow/PyTorch, MLflow, RAG, MCP, etc.)
Experience leading AI strategy and platform adoption in enterprise-scale environments
Skilled at translating regulatory and compliance requirements into responsible AI practices
Track record of partnering closely with Product, Engineering, Analytics, and Security teams as well as business executives
Excellent communicator who can set a vision for AI, explain technical trade-offs, and influence executives, peers, and partners
Passionate about embedding AI into core products to deliver measurable impact for members and enterprise partners

Job Responsibility

Define and scale CLEAR’s AI strategy: spanning data pipelines, ML lifecycle management, and intelligent applications
Lead engineering execution for AI models (development, deployment, monitoring, retraining) with a focus on reliability, observability, and ethical AI practices
Modernize analytics and intelligence systems to deliver predictive insights and partner-facing transparency in real time
Operationalize trust in AI by embedding privacy, compliance, and security into all platforms and workflows
Influence cross-functional stakeholders across the business, fostering a culture of technical rigor, collaboration, and innovation, advising C Suite executives, leaders, and individual contributors
Lead the AI Governance group and drive best practices across business functions
Track and optimize KPIs on AI adoption, model performance, scalability, and business impact

What we offer

Comprehensive healthcare plans
Family-building benefits (fertility and adoption/surrogacy support)
Flexible time off
Annual wellness stipend
Free OneMedical memberships for you and your dependents
A CLEAR Plus membership
A 401(k) retirement plan with employer match
Catered lunches every day
Fully stocked kitchens
Stipends and reimbursement programs for well-being and learning & development

Fulltime

Director, Applied AI Engineering- Enterprise

Join the team shaping the future of AI at Scale. The Applied AI team works on th...

Location

United States , San Francisco; New York

Salary:

285200.00 - 356500.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

8+ years of experience building, deploying, and scaling ML systems in production, including Enterprise-grade Gen AI and agentic applications
6+ years of people leadership experience, including managing managers and leading multi-team organizations delivering customer-facing AI products
Deep applied expertise in Gen AI, including LLM-based systems, agent orchestration, evaluation and reliability frameworks, and production system design
Experience owning end-to-end AI product delivery—from problem definition and technical architecture to deployment, iteration, and scaling
Strong technical judgment across software engineering, system design, and applied ML fundamentals
Exceptional communication and stakeholder management skills, with the ability to influence executives, customers, and cross-functional partners
Bachelor’s degree required
Master’s or PhD in Computer Science or a related field strongly preferred

Job Responsibility

Drive enterprise impact with GenAI: Partner directly with customers to identify high-leverage opportunities for generative AI, design solutions, and deliver production systems that create clear business value
Lead and scale a GenAI-native Applied AI organization: Build, mentor, and manage multiple teams of Applied AI Engineers and ML Engineers who are native to modern GenAI technologies, agentic systems, and multimodal models
Set technical and strategic direction: Define best practices for agent development, evaluation, deployment, and iteration across customer engagements and internal product efforts
Bridge frontier research to real-world applications: Translate advances in LLMs, multimodal models, and agentic workflows into practical, scalable solutions across industries
Discover model limitations and inspire innovation: Identify failure modes, inefficiencies, and gaps in current models
use these insights to influence internal research, product roadmaps, and customer strategy
Partner cross-functionally: Work closely with Product, Research, Sales, and Leadership to shape Applied AI offerings, prioritize investments, and guide long-term platform evolution
Influence the broader AI ecosystem: Represent Scale’s Applied AI capabilities with customers and partners, and help position Scale as a trusted leader in enterprise GenAI deployment

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
commuter stipend

Fulltime

Chief Solution Architect

As Google Cloud's premier partner in AI and Data Transformation, we provide worl...

Location

United Kingdom , London

Salary:

Not provided

Datatonic

Expiration Date

Until further notice

Requirements

7–12 years of experience in data, analytics, ML, or cloud engineering/architecture, including in large scale digital/data/AI transformations
at least 3 years in a pre-sales or client-facing advisory role
strong knowledge of cloud-based architectures (including infrastructure, data architecture, governance), application design, and Generative and Agentic AI concepts and deployments
hands-on depth in GCP is ideal, but strong AWS/Azure SAs with a proven ability to cross-skill to GCP quickly will be considered
excellent written and verbal communication
able to simplify complex technical ideas for business leaders
a consultative sales approach with experience shaping deals over $1M
comfortable presenting to C-suite, negotiating trade-offs, and influencing stakeholders
ideally, a track record in at least one of our verticals: Telecommunications, FSI, Media, and Agencies

Job Responsibility

Lead early discovery alongside Sales: understand business pain points, qualify opportunities, and translate ambiguity into structured technical narratives
take an insight-led approach to bring industry best practices in data and AI to shape and guide clients’ strategic transformations
architect data, ML, and GenAI solutions on Google Cloud
own scoping, estimation, and writing of Statements of Work and RFP responses in collaboration with Sales and Delivery
support RFP responses, solution reviews, and deal strategy for opportunities and accounts £1m+
facilitate client workshops on AI strategy, platform modernization, and GenAI readiness
build POVs and architecture options that balance business value, feasibility, and cost
act as a trusted advisor for our clients across data platforms, MLOps, Generative and Agentic AI, and application design
represent Datatonic on site at client, at events, conferences, partner sessions, and executive dinners
work with our GTM team to create industry-relevant content (decks, briefs, POVs) tailored for Telecommunications, FSI, Media, and Agencies and help shape our offering by surfacing patterns, reusable architectures, and packaged solutions

Fulltime

Data Program & Delivery Manager

The Data Program & Delivery Manager will lead complex data and AI programs, ensu...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

10+ years of experience delivering enterprise-scale data, analytics, and AI programs
Proven experience leading large delivery teams (20+ resources) across multiple disciplines
Strong background in technical program or delivery management within complex environments
Demonstrated experience managing program financials, budgets, and commercial performance
Deep understanding of modern data architectures, analytics platforms, and AI/ML concepts
Strong client-facing skills with experience engaging director, VP, and executive-level stakeholders
Excellent communication and leadership skills

Job Responsibility

Lead and govern large-scale data, analytics, and AI programs from initiation through delivery and steady-state operations
Manage multiple workstreams across data engineering, analytics, platform architecture, AI/ML, and governance
Establish and maintain program governance, delivery cadence, risk management, and dependency tracking
Ensure consistent delivery excellence across Agile, hybrid, and waterfall delivery models as appropriate
Lead, mentor, and develop cross-functional teams of 20+ resources, including architects, engineers, analysts, data scientists, and program managers
Build high-performing teams through clear accountability, performance management, coaching, and career development
Partner with resource management and leadership to ensure optimal staffing, onboarding, and capacity planning
Act as the primary client-facing leader, managing expectations with executive and senior stakeholders
Translate business objectives into actionable delivery plans and technical roadmaps
Proactively manage risks, issues, and escalations while maintaining strong client trust and transparency

Fulltime

Principal Software GenAI Engineer

With this role you’ll be at the heart of an exciting journey, crafting tools and...

Location

Salary:

Not provided

SNI sp. z o.o.

Expiration Date

Until further notice

Requirements

Extensive experience in DevOps/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments
Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture
Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production environments
Proven track record designing and operationalised end-to-end MLOps pipelines with tools such as MLflow, SageMaker Pipelines, or equivalent frameworks
Extensive experience building and operating containerised applications using Docker and Kubernetes, including production-grade orchestration and monitoring
Deep experience with CI/CD best practices with hands-on expertise in GitHub Actions, Jenkins, and GitOps workflows
Strong knowledge of advanced DevOps concepts, including progressive delivery strategies (blue/green, canary), resilience engineering, and performance optimisation
Deep understanding of cloud security, governance, and compliance, with the ability to define and implement scalable security frameworks
Proven ability to drive cross-functional technical initiatives, influence without authority, and deliver results through collaboration and alignment
In-dept understanding of the ML lifecycle, with practical experience deploying and managing LLMs and generative AI models in production

Job Responsibility

Lead the design, development, and evolution of robust tooling and platforms to support scalable Data Science, MLOps, and LLMOps workflows across the organisation
Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services
Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments
Design and support CI/CD pipelines using GitHub Actions, AWS CodePipeline, Jenkins, and other tools, with an emphasis on reliability, reusability, and performance
Contribute to the design and integration of monitoring and observability solutions (CloudWatch, Prometheus, Grafana) to ensure infrastructure and model health
Champion software engineering excellence through Test-Driven Development (TDD), rigorous test automation, and continuous quality assurance practices
Support architectural decisions for scalable and maintainable systems, collaborating with engineering and product stakeholders to align with business and technical goals
Partner with architects, product leaders, and stakeholders to shape the long-term technical vision and system architecture
Apply and advocate for security best practices across the software development lifecycle using AWS-native tools and DevSecOps principles
Cultivate a high-performing engineering culture through mentorship, knowledge sharing, and thought leadership via deep dives, brown bags, internal tech talks, and cross-team collaboration

Fulltime

Partner AI Deployment Engineer

The AI Deployment Engineering (ADE) team ensures the safe and effective deployme...

Location

United States , San Francisco

Salary:

197000.00 - 278000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations
Have led complex technical projects and programs with many stakeholders, ideally within or through an SI
Have industry experience in programming languages like Python or Javascript
Have led complex implementations of Generative AI and/or traditional ML solutions
Have built and/or delivered prototypes using the OpenAI API
Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders
Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed

Job Responsibility

Deeply embed with GSIs, RSIs, and boutique SIs as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API for their customers
Work with senior SI and customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap
Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance
Forge and manage relationships with SI and customer stakeholders to ensure the successful deployment and scale of their applications
Codify solution packages and architectural patterns to accelerate time to deployment for customers and partners
Lead technical support during partners' initial projects to ensure successful implementations and mentor their technical teams towards self-sufficiency in delivering OpenAI-powered solutions
Scale the Partner Solutions Architect function by sharing knowledge, codifying best practices, contributing resources to our open-source repositories, and publishing resources to internal and external knowledge bases
Validate, synthesize, and deliver high-signal feedback to the Product and Research teams

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

AI/ML Engineer

As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying sta...

Location

United States , San Francisco Bay Area

Salary:

Not provided

Brain Co.

Expiration Date

Until further notice

Requirements

Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field
Have impactful industry experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG
Have at least a high level familiarity with the architecture and operation of large language models
Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow
Possess a strong foundation in data structures, algorithms, and software engineering principles
Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges
Can work collaboratively with cross-functional teams
Thrive in fast-paced environments where priorities or deadlines may compete
Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done

Job Responsibility

Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals
Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide
Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large
Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills
Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices

What we offer

Competitive salary
Medical, Dental, and Vision (100% Coverage)
Paid Maternity and Paternity Leave
401(k)
Daily Lunches
Commuter Benefits
Unlimited PTO

Fulltime

Principal Applied Researcher AI/NLP

At PointClickCare our mission is simple: to help providers deliver exceptional c...

Location

Canada , Mississauga

Salary:

176000.00 - 195000.00 CAD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

PhD or comparable level of experience in Computer Science, Math, Physics, Engineering or a related field
4-10+ year industry experience building solutions in commercial SaaS, including at least 4 years working in applications of NLP, Search or AI/ML technologies for healthcare
Strong interest in applying AI/ML/NLP to healthcare related problems and data
Expert-level practical, hands-on experience developing and applying a wide range of techniques in Natural Language Processing, including fine tuning of LLMs and other Transformer models, plus one or more additional AI/ML or Search related areas of expertise to solve real-world problems at scale
Demonstrated ability to lead and perform research and experimentation to select appropriate approaches, algorithms, evaluation methods, and frameworks, as well as tasks such as feature selection, language modeling, evaluation and fine tuning or training models, applying standard approaches or developing new tools or workflows as needed to meet project requirements
Significant experience building and deploying AI/machine learning and NLP models for large-scale SaaS products, including familiarity with industry standard software development concepts such as scaling issues, version control, CI/CD pipelines, and security
Solid understanding and experience with transformer models and multiple kinds of NLP and ML models and approaches including logistic regression, random forest, ensemble methods, SVM, KNN, reinforcement learning, and other ML techniques
Proficiency in Python and Java required
Proficiency in JavaScript or TypeScript and modern UI frameworks for building prototype or tool front ends desired
Proficiency doing data engineering for ML and NLP applications, including exposure to database systems and proficiency with SQL

Job Responsibility

Applying NLP including GenAI and other AI/ML techniques to develop model systems and solutions, collaborating across functions to scale and integrate advanced solutions into successful end user experiences in large-scale cloud based SaaS production environments for healthcare
Working with product leaders, clinical informaticists, data scientists, UI/UX researchers and designers, other AI and machine learning and domain experts, engineering teams and others, including work with customers and users who are healthcare professionals
Design, build and evaluate solutions that may involve structured or unstructured data including speech or natural language for healthcare use cases, delivering capabilities such as summarization, predictive models, recommenders, semantic search, extraction, classification or other NLP, AI or machine learning based techniques
Performing research and experimentation to select appropriate approaches, algorithms, evaluation methods and frameworks and doing the R&D to deliver model systems
Perform, oversee and assist in data collection, data cleaning, data analysis, algorithm selection or design, prompt tuning, parameter fine tuning, training, development and evaluation of systems that deliver responsible AI solutions at scale, using existing or developing new tools or workflows as needed
As a principal applied researcher, you will bring deep technical expertise and also provide mentorship on advanced AI, NLP, data science, statistical and machine learning methods and technologies, helping the organization develop new capabilities for innovative solutions
You will have substantial independence and responsibility from day one

What we offer

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition

Fulltime

ML Practice Leader (GenAI)

Provectus

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 11, 2025

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