Provectus

Embed within client operations to rebuild business processes using GenAI and ship production-ready AI applications. | 8+ years software engineering with production GenAI/LLM experience, proficient in Python or TypeScript, AWS experience, and autonomous operation in ambiguity. | \n About the role: Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. We embed engineers and leaders inside client operations as Forward Deployed Engineers (FDE) and Forward Deployed Executives (FDX) — people who learn the work, ship the system, and own the outcome. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Bluprints. You will do the customer’s job before you automate it. Most AI engagements fail the same way: someone gathers requirements, someone writes a PRD, and a team ships a workflow nobody uses. We think the requirements-gathering step is the bug. So we remove it. A Forward Deployed AI Engineer at Provectus spends the first weeks of an engagement in the operator’s seat — as the underwriter, the analyst, the RCM specialist, the claims clinician, whoever actually does the work we’ve been asked to change. You do the job. You learn the constraints from the inside, the ones nobody writes down. Then you sit at a table with that operator and a Forward Deployed Executive and rebuild the function from first principles — and you are the one who builds it. Three things define how you work: Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Real tasks, not scope. You are not fenced into a siloed deliverable. You go where the operating problem is. Autonomous. Embedded is not staff-augmented. You own the method; nobody hands you a ticket. You won’t start from zero. Provectus builds industry blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. That loop is the difference between an outcome and an invoice. You’ll be measured on whether the Business Unit’s number moved — not on hours, not on scope delivered. This is a role for engineers who have led before — as a founder, a CTO, a staff engineer — and who want to stay in the code while owning the outcome. On most days you’ll be the most senior technical person in the room, and you’ll still be the one shipping. What you’ll do: 8+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. You will take the operator’s seat. You are genuinely willing to spend weeks doing someone else’s job — claims processing, underwriting, revenue-cycle work — before you write a line of code. Engineers who need to stay in the IDE should not apply. You learn domains fast. Demonstrated ability to become conversant in an unfamiliar business function quickly enough to argue with the people who do it for a living. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus): containers, Kubernetes/ECS, IaC, CI/CD, and the operational reality of a system someone else inherits. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Solid AI/ML foundations — you understand what the models do well enough to reason about failure modes, not just call the API. Strong hands-on prodcution experience with Claude Code/Cowork. Fluent English, written and spoken. Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution. Real depth in one of our blueprint industries: financial services, insurance, healthcare, asset management. Consulting, professional services, or other embedded customer-facing delivery. Data platform depth: data lakes, warehouses, streaming and real-time analytics, data mesh and data contracts, governance and data quality. MLOps and classical ML: PyTorch, SageMaker, MLflow. Fine-tuning, distillation, or inference/serving optimization. Graph databases (Neo4j, AWS Neptune). IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What We Offer: Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare The chance to shape how leading enterprises adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture How we hire: Short loop, hands-on, no take-home: Intro conversation — the role, your background, what you want to be doing. Two live engineering sessions. Real problems, your own editor. You may use an LLM assistant (ChatGPT, Claude) — how you work now includes these tools. Autocomplete/agentic coding tools are off for these sessions. The redesign session. We hand you an unfamiliar business function and the constraints of the person who performs it. You have to understand the job well enough to rebuild it — then say what you’d build and how you’d know it worked. No LLMs for this one. Team and practice conversation. \n

Maintain and improve a healthcare AI platform combining backend development, data engineering, and cloud infrastructure. | 6+ years engineering experience with strong Python and AWS skills, US-based, autonomous work on data pipelines and infrastructure as code. | \n About the Role: We are looking for a senior hands-on engineer to own and maintain a sophisticated AI platform already in production. This is not a greenfield project. You will be working on a live system used in a regulated enterprise environment, handling real scale and real complexity. You will operate autonomously, make technical decisions independently, and be the primary technical owner of the solution. What You'll Do: Maintain, improve, and extend an AI platform already running in production Handle a mix of backend development, data engineering, DevOps, and infrastructure work Translate business and product requirements into technical decisions independently Work directly with internal stakeholders and consumer teams Establish and maintain engineering best practices for the platform Identify and resolve technical issues as the first line of defense What You'll Bring: 6+ years of hands-on engineering experience with production systems Generalist mindset, comfortable across backend development, data pipelines, and cloud infrastructure Strong production Python skills and solid software engineering fundamentals Hands-on experience with AWS (S3, Lambda, ECS, SQS, Bedrock, RDS or similar) Experience with analytical data pipelines (SQL, Spark) and data processing at scale Experience with Infrastructure as Code (Terraform, CDK, or CloudFormation) Experience with AI-assisted development workflows (Claude Code or alternatives), not just autocomplete Experience maintaining and scaling systems in production, not just building POCs Autonomous working style, you don't need a project manager to tell you what to do next US-based, required due to project compliance and data security constraints Nice to Have: Experience with AI/ML systems or LLM-based applications Container-based deployments and Lambda optimization DevOps or MLOps background Prior consulting or professional services experience What We Offer: Full ownership of a production AI platform Remote-first, fully flexible work environment Annual performance bonus Health, dental, vision, 401(k) with company match, unlimited PTO Long-term engagement; this role extends beyond the initial project \n

Own, maintain, and extend a production-grade AI platform with backend, data engineering, and infrastructure tasks. | 6+ years engineering experience with production systems, strong Python and AWS skills, Infrastructure as Code expertise, and autonomy. | Provectus is a consulting & professional services firm with focus on AI/ML-based solutions. Provectus is AWS Premier Partner helping enterprise clients across Healthcare & Life Sciences, Finance, Retail, and other industries adopt and scale AI solutions. We build custom, production-grade AI platforms, not off-the-shelf products. \n About the Role: We are looking for a senior hands-on engineer to own and maintain a sophisticated AI platform already in production. This is not a greenfield project. You will be working on a live system used in a regulated enterprise environment, handling real scale and real complexity. You will operate autonomously, make technical decisions independently, and be the primary technical owner of the solution. What You'll Do: Maintain, improve, and extend an AI platform already running in production Handle a mix of backend development, data engineering, DevOps, and infrastructure work Translate business and product requirements into technical decisions independently Work directly with internal stakeholders and consumer teams Establish and maintain engineering best practices for the platform Identify and resolve technical issues as the first line of defense What You'll Bring: 6+ years of hands-on engineering experience with production systems Generalist mindset, comfortable across backend development, data pipelines, and cloud infrastructure Strong production Python skills and solid software engineering fundamentals Hands-on experience with AWS (S3, Lambda, ECS, SQS, Bedrock, RDS or similar) Experience with analytical data pipelines (SQL, Spark) and data processing at scale Experience with Infrastructure as Code (Terraform, CDK, or CloudFormation) Experience with AI-assisted development workflows (Claude Code or alternatives), not just autocomplete Experience maintaining and scaling systems in production, not just building POCs Autonomous working style, you don't need a project manager to tell you what to do next US-based, required due to project compliance and data security constraints Nice to Have: Experience with AI/ML systems or LLM-based applications Container-based deployments and Lambda optimization DevOps or MLOps background Prior consulting or professional services experience What We Offer: Full ownership of a production AI platform Remote-first, fully flexible work environment Annual performance bonus Health, dental, vision, 401(k) with company match, unlimited PTO Long-term engagement; this role extends beyond the initial project \n

Drive new customer acquisition and revenue growth for AI and data consulting solutions by managing complex sales cycles, building strategic relationships, and leading cross-functional efforts. | 8+ years in business development or sales in technology consulting or enterprise software with strong AI, cloud, and data analytics knowledge, plus willingness to travel frequently. | About Provectus: Provectus (www.provectus.com) is a leading AI and data consultancy that empowers organizations to leverage cutting-edge technologies for digital transformation. We partner with global enterprises and innovative startups to deliver end-to-end solutions in artificial intelligence, machine learning, and cloud computing. As an AWS Premier Tier Partner, we have deep expertise in leveraging cloud technologies to drive innovation. Provectus is an Artificial Intelligence consultancy and solutions provider that helps businesses achieve their objectives through AI. Industry analysts recognize us as a leading provider of AI solutions in specific business domains, driven by sophisticated IT service management and tech innovation. Provectus is a value driver and a trusted partner for our clients and employees. Position Overview: We seek an experienced and dynamic Business Development Manager to drive growth for our AI and data solutions across various industries and spearhead our efforts to acquire new customers and develop new revenue channels for our AI and data solutions consulting business. This role is crucial for expanding our client base, driving significant revenue growth, and establishing Provectus as the go-to partner for AI-driven digital transformation across various industries. Key Responsibilities: • Drive new customer acquisition: Develop and execute strategies to identify, target, and win new SMB and enterprise clients across diverse industries, focusing on companies ready for AI and data-driven transformation. • Generate and qualify leads: Proactively generate a robust pipeline of new business opportunities through various channels, including networking, industry events, partnerships, and targeted outreach campaigns. • Develop new revenue channels: Identify and establish new revenue streams, including exploring untapped markets, developing strategic partnerships, and creating innovative service offerings that address emerging AI and data needs. • Close high-value deals: Lead complex sales cycles from initial contact to contract signing, articulating Provectus's value proposition and navigating client organizations to secure commitments. • Exceed revenue targets: Set and achieve ambitious revenue goals for new business acquisition, consistently meeting or exceeding quarterly and annual targets. • Craft winning proposals: Collaborate with proposal teams to develop compelling, tailored proposals and presentations that effectively communicate Provectus's unique AI and data solutions to prospective clients. • Build strategic relationships: Cultivate and maintain strong relationships with C-level executives and key decision-makers in target organizations, positioning Provectus as a trusted advisor in AI and digital transformation. • Market intelligence: Continuously monitor industry trends, competitor activities, and emerging technologies to identify new business opportunities and inform go-to-market strategies. • Cross-functional leadership: Work closely with marketing, product development, and delivery teams to align business development efforts with Provectus's capabilities and ensure seamless handoff of new clients. • Represent Provectus: Act as a brand ambassador at high-profile industry events, conferences, and networking forums to raise the company's profile and generate new business leads. Qualifications: • Proven track record of consistently exceeding new business targets in technology consulting or enterprise software sales, with a focus on AI, data science, or cloud data solutions. • 8+ years of experience in business development or sales roles, with a demonstrable history of winning new logos and opening new markets. • Strong understanding of AI, machine learning, data analytics, cloud data technologies, and their business applications across various industries. • Experience with cloud technologies (AWS, GCP, Azure) and understanding cloud-based AI solutions is highly desirable. • Exceptional networking and relationship-building skills, with the ability to engage and influence C-level executives. • Outstanding communication and presentation skills, adept at articulating complex AI and data concepts to technical and non-technical audiences. • Proven ability to manage and close complex, high-value, long-cycle sales processes. • Strong analytical and strategic thinking skills, with the ability to identify new market opportunities and develop effective go-to-market plans. • A bachelor's degree is required; an MBA or advanced degree in a relevant technical field is preferred. • Willingness to travel frequently to meet prospective clients and attend industry events. What We Offer: • The competitive compensation package includes a base salary with performance bonuses and a commission plan tied to a new business acquisition. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. OTE $200-300k. • Comprehensive benefits include health, dental, and vision insurance, 401(k) with company match, and generous PTO. • Ongoing professional development and training opportunities in AI, data science, and cloud technologies. • Opportunity to work at the forefront of AI and data technologies, driving digital transformation for leading organizations across various industries. • A collaborative and innovative work environment with access to top-tier data scientists and engineers. • Clear career progression path within a rapidly growing, globally recognized AI consultancy. • The chance to build a diverse professional network spanning multiple industries and technology domains. At Provectus, we are committed to diversity, equity, and inclusion. We welcome applications from candidates of all backgrounds and experiences. To apply, please submit your resume and a cover letter detailing your relevant experience and why you're excited about this opportunity at Provectus.