• Architect and develop end-to-end AI/ML solutions tailored to complex business challenges. • Leading client engagements from initial contact through project scoping and proposal development. • Lead technical design and implementation of production-grade models and pipelines. • Own the deployment, optimization, and monitoring of models and infrastructure (MLOps). • Collaborate across teams to ensure technical excellence and project success. • Mentor peers and contribute to knowledge-sharing across the organization. • Driving sales strategies and achieving revenue targets. • Building long-term relationships with clients and partners.

Role Description If you look at a sales funnel and immediately think about what could be automated, redesigned or connected better through AI, this role will probably feel familiar. We’re not looking for a traditional Head of Sales. We’re looking for someone who understands commercial systems deeply and knows how to use AI, automation and data to help a revenue organization scale smarter. At Alegra, you’ll work on the systems behind the commercial operation: - Workflows - CRM architecture - Lead intelligence - Automation - Funnel optimization Your mission will be to design and scale the systems behind Alegra’s commercial operation. You’ll help us build a smarter and more scalable revenue organization by connecting AI, automation, CRM architecture, workflows and commercial intelligence into a single operating system. This is a highly cross-functional role that works closely with Revenue, Product, Growth, Customer and Data teams. The operational side of sales is already covered by managers and team leaders. Your focus will be improving how the system works behind the scenes. What You’ll Do - Design and improve the architecture behind our commercial funnel across different customer segments. - Build scalable workflows and automations between CRM stages, lead actions and commercial processes. - Define the logic, triggers and data structure behind the customer journey inside HubSpot. - Improve lead intelligence, pipeline visibility and funnel performance using AI, automation and data. - Analyze commercial conversations and funnel behavior to identify patterns, friction points and optimization opportunities. - Work closely with RevOps, Product, Growth and Customer teams to align systems, processes and revenue initiatives. - Transform commercial insights into actionable inputs for Product and Growth teams. - Help create a commercial operation that is more scalable, measurable and less dependent on manual execution. - Drive visibility around commercial metrics, OKRs and operational performance across the revenue organization. How You’ll Use AI in This Role - Analyze sales conversations using AI tools to identify patterns, objections and opportunities for improvement. - Build and optimize AI-assisted workflows for outreach, follow-ups and CRM operations. - Improve lead scoring and pipeline prioritization using automation and predictive signals. - Automate reporting, alerts and operational processes that reduce manual work for the commercial team. - Explore and implement new AI tools that improve execution, visibility and scalability across the funnel. Qualifications - 5+ years of experience in GTM Systems, Revenue Operations, Commercial Intelligence, Sales Strategy or related roles in SaaS or tech companies. - Strong understanding of commercial funnels, revenue operations and CRM architecture. - Hands-on experience building workflows, automations and scalable operational systems. - Advanced experience with HubSpot, Salesforce or similar CRMs beyond the UI level. - Experience implementing automations in production environments. - Strong business communication skills and ability to work directly with leadership stakeholders. - Experience working cross-functionally with Revenue, Product, Data or Growth teams. - Experience with AI workflows, AI agents or automation tools like Zapier, Make, n8n or similar. - Advanced English proficiency. Nice to Have - Startup or high-growth SaaS experience. - Founder or builder background. - Engineering background (Industrial, Systems, Software, Mechatronics or similar). This Role Is a Great Fit If You… - Enjoy building systems more than maintaining manual processes. - Naturally think in workflows, logic and operational scalability. - Like combining business context with technical problem-solving. - Feel comfortable working in fast-changing environments. - Are curious about AI and constantly explore better ways to improve how teams operate. - Prefer ownership and execution over rigid structures. - Think beyond isolated tasks and understand how decisions impact the entire funnel. This Role Is Probably Not for You If… - You’re looking for a traditional sales leadership role focused mainly on managing sellers. - You prefer highly structured environments with little change. - You don’t enjoy working with systems, automation or AI tools. - Your experience is mainly operational sales management without exposure to workflows, funnel design or commercial systems. - You prefer execution-only roles without ownership over process design and improvement. What Our CRO Says About This Role “If you read ‘sales funnel’ and immediately start thinking about the workflows, automations and missing triggers behind it, that’s exactly the mindset we’re looking for. We want someone who can help us turn a strong commercial team into a smarter and more scalable operation.” What You’ll Find at Alegra - AI-First Culture: Access to AI tools and licenses, internal AI innovation initiatives and experimentation spaces, a team where using AI is part of everyday work. - Remote Work: 100% remote work, stable long-term opportunity, monthly coworking spaces with local teams. - Professional Growth: Career development opportunities, access to educational platforms and certifications. - Wellbeing: Wellness initiatives and healthy habits programs, additional personal care days during the year. - Benefits & Experience: Budget to improve your work setup, birthday bonus and half-day off, a multicultural team across different countries. Diversity at Alegra At Alegra, we value and promote diversity and inclusion in all forms. All applications are considered regardless of gender identity, sexual orientation, ethnicity, religion, age, disability or any other characteristic. If you need accommodations during any stage of the hiring process, please let us know. Move from homework to AI-powered work. 🤖💚

Role Description The AI Developer will be responsible for the hands-on development, fine-tuning, and deployment of specialty-specific AI models. This role focuses on the technical execution of our Agentic AI strategy, turning clinical documentation into precise medical codes. The AI Developer will work directly with Python and modern ML/DL and agentic frameworks to build autonomous systems that solve complex healthcare data challenges. - Develop and maintain production-ready Python code for Large Language Models (LLMs) and Small Language Models (SLMs). - Execute fine-tuning tasks on foundational models to optimize them for specific medical specialties and clinical nomenclatures. - Build and iterate on autonomous agents and multi-agent workflows using frameworks like LangChain or LlamaIndex. - Work within MLOps pipelines ensuring continuous integration and deployment of updated models. - Curate large datasets of unstructured clinical text to prepare for model training and validation. - Work closely with the team to translate architectural blueprints into functional, scalable code. Qualifications - Proven ability to work and collaborate effectively within a global, distributed team environment. - Demonstrated track record as a self-starter with a “go-getter” mindset and hands-on experience delivering scalable, production grade AI models. - Delivery of clean, maintainable, and efficient Python code that adheres to enterprise standards. - Measurable improvements in model precision and recall for assigned medical specialties. - Ability to pivot between broad LLM implementation and highly specialized SLM optimization. - Proactive identification of bottlenecks in agent reasoning or model inference. Requirements - Bachelor’s degree in computer science, data science, or a related field. - 5-9 years in software development with a heavy focus on machine learning and NLP. - Mastery of Python and deep experience with Deep Learning Models. - Practical experience in Machine Learning (ML) and fine-tuning foundation Large Language Models. - Demonstrated experience building agents that utilize reasoning (e.g. ReAct, Chain-of-Thought). Preferred Education and Experience - Experience building models for the medical coding use case. - Familiarity with HIPAA-compliant data handling and medical data formats (HL7, FHIR). - Proficiency with weights and biases, Hugging Face ecosystem, and vector databases. Work Environment This job operates in a remote home office environment. This role routinely uses standard office equipment such as computers and phones. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is occasionally required to: - Stand; walk; sit; use hands to handle, or feel objects, tools, or controls; - Reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl; and talk or hear. - Occasionally lift or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Position Type/Expected Hours of Work This is a full-time position. Days and hours of work are generally Monday through Friday, 8:00 a.m. to 5 p.m. This position occasionally requires long hours and weekend work. Travel Minimal travel required; up to 10%. Equal Employment Opportunity Omega Healthcare is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, gender, age, sexual orientation, gender identity or expression, marital status, mental or physical disability, protected veteran status, and genetic information, or any other basis protected by applicable law. Omega Healthcare also prohibits harassment of applicants or employees based on any of these protected categories. Omega Healthcare makes reasonable accommodations when needed for applicants and candidates with disabilities or religious observances. If reasonable accommodation is needed to participate in the job application, interview, or any other part of the hiring process, please contact Human Resources at employeerelationsus@omegahms.com. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Employee may perform other duties as assigned.

Distinguished AI Engineer (Remote) locations McLean, VA US Remote time type Full time job requisition id R242178 Distinguished AI Engineer (Remote)   Job Description Overview:   At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.   Team Description:   The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers.  Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.   In this role, you will:    - Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. - Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. - Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. - Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. - Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.    The Ideal Candidate:   - You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.  - Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. - You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. - You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.  - You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.     Basic Qualifications: - Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies - At least 8 years of experience programming with Python, Go, Scala, or Java   Preferred Qualifications: - 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) - Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems  - Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level - Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang - Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost - Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production - Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers At this time, Capital One will not sponsor a new applicant for employment authorization for this position.   The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.   Remote (Regardless of Location): $244,700 - $279,200 for Distinguished AI Engineer   McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer   Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.   This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.