Logicflo, AI Jobs in Usa

Senior Applied AI Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
• You will report directly to senior leadership and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Applied AI Scientist will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
• Experience working in a scaling startup is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

About Us

We’re continuing to build a transformative healthcare accreditation platform that is revolutionizing how our clients and new hospitals manage compliance, quality improvement, and regulatory processes. Our platform combines cutting-edge technology with deep healthcare domain expertise to solve real problems for healthcare organizations nationwide.

The Opportunity

The goal is to have interns turn into full time employees; Therefore, you will be given full time responsibilities day one. To add onto that, you will be working in a high velocity growth startup and will be required to move fast. You’ll work directly with our engineering team on a production healthcare platform, gaining hands-on experience with enterprise-grade systems while making real contributions that impact our product and customers.

Compensation Structure

Base position is unpaid, however qualified candidates may receive upfront equity compensation based on their experience level and demonstrated capabilities. We evaluate each applicant individually and offer equity packages commensurate with their potential contribution.

About the Role

We’re hiring for an AI Engineer. To be considered, you must have a deep expertise in a focus and some knowledge of the latter.

Requirements

• Deep specialization in one of these areas: Agentic AI (Claude Agent SDK, MCP Servers, Tool Use) + Node.js/TypeScript + AWS + RAG

• Strong understanding of modern practices and version control (Git)

• Ability to work collaboratively within a specialized team structure

• Passion for building production-ready, scalable systems

Nice to Have

• Experience working in team environments with separated responsibilities

• Understanding of production AI deployment

• Experience with Claude Code, MCP server development, or agentic AI frameworks

• Previous experience with healthcare or regulated industries

What You’ll Build

• Agentic AI systems: Autonomous agents using Claude Agent SDK, MCP servers, and tool use for domain-specific workflows, combined with RAG for knowledge retrieval via Bedrock

• Node.js API services: Production AI inference endpoints and services integrated into our existing Node.js/MongoDB platform + Voyage AI vector database management

• AWS AI services: Lambda-based inference, Bedrock integration

• Semantic search & MCP integrations: Knowledge extraction and contextual Q&A systems using S3 Vectors, Mongo DB Atlas and OpenSearch (hybrid search), exposed via MCP servers for agent consumption

Key Responsibilities

• Conduct exploratory data analysis to identify patterns in complex healthcare datasets

• Build agentic AI systems using Claude Agent SDK, MCP servers, and tool use, alongside RAG pipelines with AWS Bedrock and vector databases

• Manage vector databases: Mongo DB/S3 Vectors

• Develop document processing pipelines for text extraction and analysis

• Create production Node.js services for real-time AI inference, integrated with our MongoDB data layer

• Implement semantic search and knowledge extraction from document repositories

• Design Lambda-based inference systems on AWS

• Integrate LLMs via agentic frameworks (Claude Agent SDK, MCP) for domain-specific autonomous workflows and Q&A systems

• Develop ETL processes for external data sources and APIs

Required Qualifications

Candidates must meet all Core Qualifications.

Core Qualifications

• Node.js/TypeScript programming skills

• Git for version control

• Understanding of deployment and production systems

• Collaborative development workflows

AI/ML Development

• Experience building production AI services in Node.js/TypeScript

• 1+ years with AWS services (Lambda, Bedrock, S3, EC2) and agentic AI frameworks (Claude Agent SDK, MCP servers, tool use)

• RAG development experience with vector databases

• NLP/Document processing expertise (text extraction, classification, information retrieval)

Nice to Have

• Healthcare or regulated industry experience

• Experience with Claude Code and agentic development workflows

• Experience with Hugging Face transformers and LLMs

• MongoDB experience and familiarity with aggregation pipelines

• Time-series forecasting and anomaly detection

• Advanced statistical modeling (survival analysis, propensity scoring)

• Knowledge of data privacy and compliance frameworks

Technical Stack

AI/ML Development: Node.js/TypeScript, AWS (Bedrock, Lambda, S3, EC2), Agentic AI (Claude Agent SDK, MCP Servers, Tool Use, Claude Code), MongoDB, Vector Databases (S3 Vectors, OpenSearch), NLP libraries (sentence-transformers), Git

Our Hiring Process

We believe in a transparent and thorough selection process that respects your time while ensuring mutual fit:

Initial Screening Call

We’ll discuss your background, experience, and career goals, while providing an overview of the role and our team culture.

Technical Challenge (issued on case by case basis)

You’ll receive a real-world technical challenge to complete within a specified timeframe. We encourage you to leverage all available resources—including AI tools, documentation, and libraries—just as you would in a production environment. This reflects how we actually work and allows you to showcase your problem-solving approach.

Technical Interview

We’ll have an in-depth discussion about your solution and explore related technical concepts. You should be prepared to walk through every aspect of your submission—explaining architectural decisions, code logic, trade-offs, and potential improvements. Whether you wrote the specific code section manually or generated it with AI assistance, you must demonstrate complete ownership and understanding of the entire codebase. This is a production-level assessment: we expect you to discuss, debug, and defend your work as if it were going live tomorrow.

We’re looking for engineers who can think critically, adapt their approach, and truly understand the systems they build—not just those who can generate code.

Ready to apply? We look forward to hearing from you!

MedLaunch is an equal opportunity employer committed to diversity and inclusion.

Location: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas,Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, LA, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orland, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Pleasanton, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Syracuse, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington DC, Westlake village, Winston-Salem

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Whole industries have been disrupted and transformed in recent years by changing technologies, advanced analytics and the need for better insight. EY is helping businesses realize the value they can gain from their IT investments. We deliver exceptional client service — providing advice on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, as well as how IT can act as a multiplying effect during major program transformations.

The AI Finance Senior Manager is a crucial role responsible for supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications. The successful candidate will leverage their deep expertise finance applications (planning, reporting, close/consolidation) coupled with deep skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas. One of the key responsibilities will focus on developing and implementing our “FDL consulting blueprint” service offering, with the goal of creating an industry agnostic data model which can be utilized as a starting point and be extended ensure data consistency and interoperability across finance applications. The successful candidate will work closely with the Data Lead and the Product Owner for the FDL to ensure that the FDL Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision-making.

The AI Finance Senior Manager will work closely with finance, IT, and data science teams to support the effective management and utilization of finance application data, harnessing the power of Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering.

As a Senior Manager, you will play a pivotal role in leading engagement delivery and managing client relationships. Your time will be spent across various responsibilities, including:

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• Leading the design and delivery of system architecture solutions in collaboration with technical teams.

  
  

• Tailoring technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.

  
  

• Managing complex processes, solutions, and projects while maintaining a focus on quality and risk management.

  
  

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• Proven ability to manage and deliver complex solutions.

  
  

• Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high-quality work products within expected time frames and on budget.

  
  

• Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes.

  
  

• Managing expectations of client service delivery.

  
  

• Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members.

  
  

• Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization.

  
  

• Supporting Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications

  
  

• Defining data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies

  
  

• Leading the design and implementation of an extensible common information model for the FDL Blueprint

  
  

• Developing and maintaining documentation, including data dictionaries, entity-relationship diagrams, and data lineage maps

  
  

• Leading the development and implementation of our FDL Blueprint solution offering, ensuring scalability, performance, and security

  
  

• Collaborating with data scientists and finance SMR’s across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL

  
  

• Supporting the establishment and maintenance of a robust data governance framework for the FDL

  
  

• Staying current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications

  
  

• Ability to travel as required for client engagements and project needs.

  
  

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• Bachelor\'s degree in Finance, Accounting, Business, Computer Science

  
  

• Minimum of seven years of progressive experience in Financial Planning & Analysis (FP&A), with demonstrated expertise in:

  
  

• Strategic financial planning, budgeting, and forecasting processes

  
  

• Financial modeling and scenario analysis

  
  

• Variance analysis and management reporting

  
  

• Cross-functional collaboration with business stakeholders

  
  

• Strong proficiency with EPM (Enterprise Performance Management) platforms, including hands-on experience with solutions such as:

  
  

• Anaplan (Certified Model Builder preferred)

  
  

• Oracle EPM Cloud Suite (PBCS, ePBCS, FCCS)

  
  

• Oracle Hyperion

  
  

• OneStream, Tagetik, or similar platforms

  
  

• Solid understanding of financial data architecture and governance, including:

  
  

• Financial data modeling and dimensional design

  
  

• Chart of accounts structuring and hierarchy management

  
  

• Data quality standards and reconciliation processes

  
  

• Master data management for finance applications

  
  

• Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow)

  
  

• Excellent communication, collaboration, and problem-solving skills

  
  

• Ability to work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies

  
  

• Strong business skills including relationship management, commercial awareness, and communication.

  
  

• Strong analytical and problem solving skills as well as excellent oral and written communication skills

  
  

• A willingness to travel to meet client needs.

  
  

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• Degree emphasis in Finance, Accounting, Economics, Business, Computer Science, MIS, or IT preferred

  
  

• A strong ability to adapt to changing technology landscapes and stay ahead of industry trends.

  
  

• Exceptional interpersonal skills to foster team collaboration and client trust.

  
  

• A proactive approach to problem-solving and decision-making.

  
  

• Experience in leading diverse teams in dynamic environments.

  
  

We seek top performers with a blend of technical expertise and strategic business acumen. Candidates should be adaptive, proactive, and committed to driving innovative technology solutions that propel the business forward. Strong managerial skills and a continual desire to improve both technical and soft skills are essential to meet the evolving demands of the industry.

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

• 
  

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $171,600 to $392,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $205,900 to $445,700. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

  
  

• Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

  
  

• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

  
  

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on-going basis.

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.

ESSENTIAL DUTIES AND RESPONSIBILITIES

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.

• Design and build AI-powered applications using Large Language Models (LLMs) for enterprise use cases.
• Develop Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data such as documents, manuals, tickets, ERP data, and knowledge bases.
• Build and orchestrate AI agents that can reason, plan, and interact with tools, APIs, and workflows.
• Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, access control, and output validation.
• Work with multimodal AI models including text, image, and video use cases such as video analysis, summarization, and optimization.
• Integrate AI solutions with existing enterprise systems such as Salesforce, ERP platforms, data lakes, APIs, and internal applications.
• Partner with security and compliance teams to ensure responsible AI usage, data privacy, and governance.
• Prototype quickly, then harden solutions for production with monitoring, logging, evaluation, and performance optimization.
• Mentor and upskill existing developers on AI concepts, patterns, and best practices.

Required Skills & Experience

• 5+ year of full stack development experience.
• Strong software engineering background with experience building production-grade applications.
• Hands-on experience with modern LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or similar.
• Practical experience building RAG pipelines using vector databases and embedding models.
• Experience with prompt engineering, prompt versioning, and evaluation techniques.
• Solid Python experience for AI development.
• Experience integrating AI services with REST APIs, microservices, and cloud-native architectures.
• Familiarity with cloud platforms such as AWS or Azure, including deployment, scaling, and security concepts.
• Understanding of data formats such as JSON, XML, and document-based data.
• Ability to translate business problems into AI-driven technical solutions.

Preferred Qualifications

• Experience with vector databases such as Pinecone, FAISS, Weaviate, or similar.
• Familiarity with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent orchestration tools.
• Experience implementing AI safety controls, policy enforcement, and evaluation frameworks.
• Exposure to video or image models and multimodal AI use cases.
• Experience working in enterprise environments with security, compliance, and change management considerations.
• Prior experience mentoring or leading developers in new technical domains.

What We Offer

At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:

• Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.

• Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.

• Time for You: Paid holidays, vacation time, and personal/sick days each year.

Join us and build a career where you're supported - at work and beyond.

Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Sr. Engineering Manager, AI/ML Serving Platform

The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon).

Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include:

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• Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
  
• Production GenAI & LLM model inference stack for emerging use cases.
  
• Model routing, deployment, monitoring. Kubernetes-based provisioning.
  
• Feature fetching, caching, and logging
  

What you'll do

• 
  
• Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
  
• Set technical direction for the team based on company and org priorities
  
• Coach and develop talent on the team.
  

What we're looking for:

• 
  
• Experience managing platform engineering teams with many cross-organizational customers
  
• Experience leading the development of large-scale distributed serving systems
  
• Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale
  
• Bachelor's degree in Computer Science, a related field or equivalent experience.
  

In-Office Requirement Statement:

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• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

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• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-AH2

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Role: Principal AI Solution Architect

Location: Houston, TX, 77086 - Onsite

Duration: Long term Contract

Job Description:

Key Responsibilities:

• Partner with business and technical stakeholders to identify and implement agentic AI and machine learning solutions that improve decision making, workflows, and automation
• Design and implement cloud native AI architectures using Microsoft Azure services and established AI design patterns
• Collaborate with Data Scientists and other AI Engineers to transform prototypes into production ready, scalable solutions
• Build, deploy, and operate enterprise scale machine learning pipelines, emphasizing reliability, performance, and security
• Orchestrate and configure infrastructure that enables low latency, resilient AI workloads, leveraging infrastructure as code and automation
• Contribute to reusable accelerators, templates, and patterns that improve delivery speed and consistency across teams
• Support CI/CD, monitoring, and operational practices for AI and ML systems in production environments

Required Technical Skills:

• Strong experience with Microsoft Azure, including AI/ML services and cloud native architectures
• Hands on experience deploying and operating ML pipelines using Azure Machine Learning
• Proficiency in Python and modern software engineering practices
• Experience with automation and configuration management, including Ansible
• Solid understanding of MLOps, model lifecycle management, and CI/CD for AI systems
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Working knowledge of security, identity, and access control in enterprise cloud environments

Preferred Skills:

• Experience with Microsoft Foundry
• Experience implementing or operating agentic AI systems
• Familiarity with data engineering tools such as Databricks, Spark, Azure Data Factory
• Experience integrating AI services (e.g., cognitive services, computer vision, unstructured data processing)

Experience Requirements:

• 5+ years of experience in software engineering, AI engineering, or machine learning engineering roles
• Proven experience delivering production AI or ML solutions in a cloud environment
• Experience collaborating with cross functional teams across data science, engineering, and architecture

Ways of Working:

• Ability to work independently as a contractor while integrating effectively with existing teams
• Strong communication skills, with the ability to explain complex technical concepts clearly
• Results oriented mindset with a focus on delivering business value quickly and reliably.

We are looking for a Generative AI Lead to drive the design and delivery of advanced AI solutions for enterprise clients.

This role sits at the intersection of hands-on engineering, system architecture, and technical leadership, focused on building production-grade GenAI systems that solve complex, real-world business problems.

What You’ll Do

• Lead the design and development of enterprise-scale Generative AI solutions
• Architect and implement multi-agent AI systems and retrieval-augmented generation (RAG) pipelines
• Integrate LLM capabilities into business workflows and enterprise applications
• Partner with business stakeholders to translate complex problems into scalable AI solutions
• Guide and mentor engineering teams while maintaining a high bar for technical quality
• Ensure reliable deployment, monitoring, and performance of AI systems (including handling hallucinations, drift, and scaling challenges)
• Optimize infrastructure across cloud environments, including compute and GPU utilization

What We’re Looking For

• Proven experience building and deploying LLM-based / Generative AI applications in production
• Strong hands-on expertise in Python and modern AI frameworks (e.g., LangChain, LlamaIndex)
• Experience designing RAG pipelines, semantic search systems, or knowledge retrieval architectures
• Exposure to multi-agent frameworks (e.g., LangGraph, CrewAI) or similar architectures
• Experience working in cloud environments (AWS, Azure, or GCP) and scaling AI systems
• Demonstrated ability to lead technical teams or initiatives
• Strong communication skills with the ability to collaborate with both technical and business stakeholders

Nice to Have

• Experience working in regulated industries (e.g., healthcare, life sciences, financial services)
• Familiarity with vector databases (e.g., Pinecone, Weaviate)
• Background in enterprise AI platform development or data infrastructure

Why This Role

• Opportunity to build real-world GenAI systems at scale (not just prototypes)
• Own end-to-end architecture and delivery, from concept to production
• Work on high-impact use cases across enterprise clients
• Collaborate with cross-functional teams across engineering, product, and business

About MathCo

MathCo is a global Enterprise AI and Analytics company helping Fortune 500 organizations solve complex business problems through data and AI. Our work spans advanced analytics, AI platforms, and scalable solutions that deliver measurable business impact.

Collectiv is seeking a dynamic, results-driven Business Development Executive with a growth mindset and a hunter mentality to drive new business in a complex consulting environment. This role requires a proven track record in selling Microsoft Data & AI solutions, including Microsoft Fabric, Power BI, Azure, Databricks, Copilot, and AI-driven technologies.

Are you passionate about leveraging Data & AI to drive business transformation? At Collectiv, we empower organizations to unlock the full potential of Microsoft's Data & AI ecosystem. As part of our team, you'll build strong client relationships, drive strategic growth, and sell impactful solutions that shape the future of data-driven decision-making.

• Experience selling Microsoft Data & AI consulting services is required.
• Proven success in selling consulting engagements related to Microsoft Fabric, Power BI, Azure, Databricks, Copilot, and AI/ML solutions is required.
• Proven track record as a proactive business developer, excelling in identifying and closing net-new opportunities in a competitive market is required.
• Ability to act as a trusted advisor, addressing complex business challenges with data strategy, analytics, and AI-driven solutions.
• Experience selling at the C-suite level, driving strategic business transformation.
• Growth mindset, with a focus on overcoming obstacles, executing high impact initiatives, and delivering tangible business outcomes.

• You are a proactive dealmaker who excels at identifying and closing high-value opportunities in the Data & AI space.
• You are a self-motivated, strategic thinker who thrives in complex sales cycles and consultative engagements.
• You bring energy, collaboration, and perseverance, navigating challenges to drive successful outcomes.
• You have exceptional interpersonal skills, building trusted relationships with clients, partners, and internal teams.
• You anticipate challenges and address objections with a solutions-oriented, consultative approach.
• You are a persuasive communicator and influencer, effectively aligning technology solutions with business needs.

• Specialize in Microsoft Data & AI solutions, including Microsoft Fabric, Power BI, Azure, and AI-driven technologies.
• Identify, develop, and close high-impact data transformation opportunities, managing the entire sales lifecycle.
• Drive revenue growth by cultivating strong relationships with enterprise and mid-market clients.
• Partner closely with Microsoft teams and ecosystem collaborators, leveraging co-sell opportunities and joint go-to-market strategies.
• Build and maintain a strong sales pipeline, ensuring consistent and sustainable business expansion.
• Stay ahead of market trends, competitive landscapes, and emerging Microsoft Data & AI advancements to offer informed solutions.
• Work in collaboration with Collectiv's consulting and delivery teams, ensuring smooth transitions from sales to execution for client success.

Join Collectiv for a rewarding career in a fully remote work environment with quarterly in person team experiences and a competitive compensation. We provide a clear growth trajectory with professional development opportunities and a top-shelf benefits package. Enjoy unlimited time off and 100% covered health insurance, encompassing medical, dental, and vision plans for you and your family. Our comprehensive offerings, from a competitive 401(k) with a 4% match to educational assistance, tech stipend, and discounts on various goods and services, demonstrate our commitment to your well-being and success. At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and unparalleled benefits prioritizing your financial, physical, and emotional well-being.

Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning and AI with Power BI and the Microsoft Data Stack.

Our mission at Collectiv is simple: We help enterprises make better decisions.

Our Core Values:

Growth Mindset Bring solutions, not problems.

Excel with Humility Be humbly brilliant.

Communicate Actively and Empathically Listen, ask, understand, help.

Work Hard, Play Hard Results are proportional to effort.

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Overview

Whistler Partners is partnering with a nationally recognized technology transactions practice seeking a mid-to-senior level associate (4–8 years) to join its Washington, DC office.

This team operates at the forefront of emerging technologies, advising clients across fintech, financial services, artificial intelligence, cloud services, outsourcing, digital assets, and advertising. The practice sits at the intersection of IP, data strategy, product counseling, and complex commercial contracting in a rapidly evolving regulatory environment.

Why this role?

This is a rare opportunity to build a cutting-edge tech transactions practice focused on AI systems, fintech infrastructure, and data commercialization. The team handles sophisticated, strategic transactions—not just routine commercial agreements—and serves as trusted advisors to innovative companies navigating complex technological and regulatory shifts.

You’ll work on high-value licensing, outsourcing, and product counseling matters while staying close to regulatory developments in AI, open banking, and digital assets. This seat is ideal for someone who enjoys blending deep contractual work with forward-looking technology strategy.

Key Responsibilities

• Structure, draft, and negotiate strategic technology transactions involving fintech, AI systems, cloud services, and software platforms.
• Draft and negotiate vendor, supplier, and outsourcing agreements.
• Advise clients on intellectual property and regulatory issues relating to data, open banking, AI model development, and content use.
• Draft and negotiate agreements involving software licensing, commercialization, technology development, and IP rights.
• Provide product counseling and guidance on advertising, marketing, and promotional law for innovative tech launches.
• Negotiate AI system licenses and content licenses for AI model training.
• Monitor emerging regulatory frameworks impacting AI, fintech, payments, and advanced technologies.

Top Requirements

• 4–8 years of experience in technology transactions, licensing, fintech, IP, or outsourcing.
• Strong understanding of commercialization of advanced technologies, including payments, AI, cloud computing, and software.
• Experience negotiating complex IP, data access, and licensing arrangements.
• Background advising fintech, financial institutions, or digital asset clients.
• Exceptional drafting, negotiation, and communication skills.
• Ability to manage multiple sophisticated matters in a collaborative, fast-paced environment.
• JD and admission to practice in the relevant jurisdiction.

Preferred Experience

• Experience negotiating AI system and AI training content licenses.
• Familiarity with advertising and marketing law as applied to technology companies.
• Experience advising on IP aspects of M&A and related transactions.
• Exposure to fintech, payments, cloud services, AI, government contracts, outsourcing, or digital asset clients.

Compensation

• $225,000 – $330,000 base salary, depending on experience.
• Comprehensive benefits including medical, dental, life insurance, paid holidays, sick time, long-term disability, and 401(k).

TL;DR

Mid–senior tech transactions role in DC focused on AI systems, fintech, cloud, and advanced data deals. High-end licensing and commercialization work with strong regulatory adjacency. $225K–$330K base.

About Whistler Partners

Matchmakers, Not Headhunters

Whistler Partners is a boutique matchmaking firm focused on counseling the best and the brightest attorneys over the course of their careers. We believe that the right move comes from working closely with talent to curate their long-term career paths. When it comes to career advice, what matters is not the size of the agency but the strength of your individual recruiter.

We readily admit that we are elite and only work with the best – after all, a little elitism is okay when it comes to your career. Employers love us because we are picky about whom we represent, and attorneys love us because we get them their dream jobs.