Provectus

Artificial Intelligence

• Drive AI-Powered Product Innovation
• Define product vision and roadmaps for client solutions leveraging GenAI, LLMs (GPT-4, Claude, Llama, Gemini), RAG architectures, and Agentic AI frameworks
• Lead end-to-end product lifecycle from ideation through launch for AI/ML products, ensuring alignment with client business objectives and KPIs
• Develop compelling business cases by analyzing market opportunities, competitive positioning, and ROI projections for AI implementations
• Lead Complex Data & Migration Initiatives
• Oversee product strategy for large-scale data migration projects across cloud platforms (AWS, Azure, GCP)
• Guide data product development including ingestion pipelines, transformation layers, governance frameworks, and consumption APIs
• Ensure data quality, security, compliance, and observability across all deliverables
• Champion Agile Delivery Excellence
• Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed features and epics
• Define sprint goals aligned with quarterly objectives and long-term product vision
• Balance technical debt management with feature delivery, advocating for architectural improvements
• Enable Cross-Functional Collaboration
• Partner with client stakeholders, engineering teams, data architects, ML engineers, and UX designers to deliver integrated solutions
• Translate technical capabilities into business value narratives tailored for different audiences, from developers to executive leadership
• Conduct design thinking workshops, user research sessions, and gap analyses to uncover insights and validate product direction.

Senior Solution Owner – AI, Data Solutions

Data Engineer

• Drive AI Powered Product Innovation
• Lead end to end product lifecycle from ideation through launch for AI and ML products
• Develop compelling business cases by analyzing market opportunities and ROI projections for AI implementations
• Oversee product strategy for large scale data migration projects across cloud platforms including AWS, Azure, and GCP
• Guide data product development including ingestion pipelines, transformation layers, governance frameworks, and consumption APIs
• Balance technical debt management with feature delivery, advocating for architectural improvements
• Partner with client stakeholders, engineering teams, data architects, and ML engineers to deliver integrated solutions
• Conduct design thinking workshops and user research sessions to validate product direction

Senior Technical Solution Manager – AI & Data Platforms

• Architect Product Strategy for Technical Platforms: Define product strategy for AI platforms, data infrastructure, and enterprise-scale data migration initiatives.
• Drive AI/ML Product Development: Own end-to-end product lifecycle for GenAI applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi-modal AI systems.
• Manage Complex Data Platform Initiatives: Lead product planning for data lake/lakehouse implementations, warehouse modernizations, and cloud data platform migrations.
• Execute Through Agile Delivery: Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed Features and Epic level stories.
• Enable Technical Decision-Making: Conduct technical due diligence, proofs-of-concept, and spike solutions to validate approaches before full investment.

Senior Principal Technical Solution Owner / Product Manager – AI & Data Platforms

Business Development Rep

• Establish and strengthen Provectus’ presence as a leading AI and data partner in life sciences.
• Shape conversations with senior executives, positioning Provectus as a trusted advisor for long-term transformation initiatives.
• Identify and engage high-potential enterprise and SMB clients ready to leverage AI and data for transformative outcomes.
• Develop and execute strategic account plans that align with Provectus’ capabilities and long-term growth objectives.
• Build, nurture, and qualify a robust pipeline of strategic opportunities through executive networking, ecosystem partnerships, industry events, and thought leadership initiatives.
• Translate market insights into actionable growth strategies.
• Lead complex, multi-stakeholder sales cycles from initial engagement to contract signing.
• Articulate Provectus’ value proposition and demonstrate measurable business impact for AI and data initiatives.
• Close high-value strategic deals that deliver both revenue and enhanced market positioning.
• Identify emerging market opportunities, develop innovative service offerings, and establish strategic alliances to expand Provectus’ footprint.
• Represent Provectus at conferences, executive forums, and industry events, reinforcing the company’s market presence and generating high-value opportunities.
• Serve as a recognized voice on AI, data, and digital transformation in the life sciences sector.

Life Sciences Business Development Manager – Business Trips

Backend Engineer

• Write well-designed, testable, efficient code by using best software development practices;
• Work closely, collaboratively, and creatively with product owners to build a user experience to support the business users' needs;
• Work well in a team environment of 4 - 5 developers, but taking individual ownership of deliverables and ensuring quality through comprehensive unit tests;
• Code optimization and performance with best practices in Javascript;
• Create a user interface by using standard HTML/CSS practices;
• Gather and refine specifications and requirements based on technical needs;
• Ensure cross-browser capability of code and HTML markup;
• Create and maintain software documentation;
• Stay tuned with the recent Web technologies.

Senior Full-Stack Engineer, React, TypeScript, Node.js

Machine Learning Engineer

• Design and implement ML pipelines from experimentation to production with limited supervision
• Build, evaluate, and optimize models across supervised, unsupervised, and generative AI tasks
• Develop and maintain production-grade Python code: modular, tested, and well-documented
• Set up reproducible experimentation environments and maintain experiment pipelines
• Deploy and monitor ML models in production, ensuring stability and performance
• Actively contribute to LLM-based applications, including RAG systems and agent workflows
• Leverage AI-assisted development tools to increase velocity and code quality on all tasks
• Claude Ecosystem Integration: practical use of Claude Code or the Claude Agent SDK to deliver high-quality greenfield customer engagements
• Transform existing brownfield projects into AI-friendly setups
• Active usage of the Provectus AI toolkit in daily workflows
• Internal Contributions: contribute back to the Provectus AI toolkit, developing specific agents, building MCP servers, submitting bug fixes, adding features, or improving documentation
• Mentor and support junior ML engineers on technical tasks, code quality, and best practices
• Conduct meaningful code reviews with constructive, actionable feedback
• Collaborate with cross-functional teams: DevOps, Data Engineering, Solutions Architects
• Stay current with ML research and emerging frameworks, especially in GenAI and agentic AI

Mid-Level ML Engineer

Solutions Engineer

• Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs.
• Implement and optimize RAG systems for production use cases.
• Design and build LLM-based and agentic AI solutions that address real client business challenges.
• Own the technical direction of client engagements from discovery through delivery.
• Support presales: discovery calls, technical proposals, scoping, and client-facing demos.
• Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice.
• Mentor engineers, lead code reviews, and share knowledge across the team.
• Build and maintain strong relationships with key client stakeholders as a trusted technical advisor.

Senior Software Engineer – Solutions Architect, Python, GenAI

• Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs
• Implement and optimize RAG systems for production use cases
• Design and build LLM-based and agentic AI solutions that address real client business challenges
• Own the technical direction of client engagements from discovery through delivery
• Support presales: discovery calls, technical proposals, scoping, and client-facing demos
• Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice
• Mentor engineers, lead code reviews, and share knowledge across the team
• Build and maintain strong relationships with key client stakeholders as a trusted technical advisor

Full-stack Engineer

• 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

Senior Software Engineer, GenAI, Data & Cloud

Recruitment

• Partner with hiring managers to define recruitment needs, create job descriptions, and craft talent strategies that align with business goals;
• Manage full-cycle recruitment processes, including sourcing, interviewing, and extending offers across Latam (mainly - Colombia and Costa Rica) and North America (the USA and Canada);
• Ensure an excellent candidate experience, representing the company’s values throughout the recruitment process;
• Actively build talent pipelines through direct sourcing and networking across industry channels, including fostering relationships with universities and other key institutions;
• Use data-driven insights to improve the recruitment process and provide market intelligence that informs workforce planning.

Talent Acquisition Partner

• Proactively source and qualify new business opportunities across North America
• Navigate complex sales cycles focused on AI/ML and Cloud digital transformation services
• Own your territory and manage a healthy pipeline across multiple verticals (Finance, Healthcare, Retail, etc.)
• Attend industry events, conferences, and on-site client meetings (30-40% travel expected)
• Partner with our technical leadership and delivery teams to scope and close high-impact deals

Life Sciences & Biotech Business Development Manager – AI, Cloud Solutions

Network Operations

• Monitor all of our data centers, servers, applications, performance and availability.
• Assess and prioritize faults, and respond or escalate accordingly.
• Providing 24/7 technical support.
• Verbal and written communications with customers.
• Follow NOC processes and procedures for efficient monitoring and communication.
• Troubleshoot issues by utilizing provided toolbox and define new advanced tools.

NOC Engineer

• Technical Delivery (60%)
• Design and implement end-to-end ML solutions from experimentation to production;
• Build scalable ML pipelines and infrastructure;
• Optimize model performance, efficiency, and reliability;
• Write clean, maintainable, production-quality code;
• Conduct rigorous experimentation and model evaluation;
• Troubleshoot and resolve complex technical challenges.
• Collaboration and Contribution (25%);
• Mentor junior and mid-level ML engineers;
• Conduct code reviews and provide constructive feedback;
• Share knowledge through documentation, presentations, and workshops;
• Collaborate with cross-functional teams (DevOps, Data Engineering, SAs);
• Contribute to internal ML practice development.
• Innovation and Growth (15%)
• Stay current with ML research and emerging technologies;
• Propose improvements to existing solutions and processes;
• Contribute to the development of reusable ML accelerators;
• Participate in technical discussions and architectural decisions.

Senior ML Engineer, GenAI, AWS

• Technical Leadership (40%)
• - Set technical direction and standards for ML projects
• - Make architectural decisions for ML systems
• - Review and approve technical designs
• - Identify and address technical debt
• - Champion best practices in ML engineering
• - Troubleshoot complex technical challenges
• - Evaluate and introduce new technologies and tools
• Mentorship & Team Development (35%)
• - Mentor junior and mid-level ML engineers (2-5 engineers)
• - Conduct technical code reviews
• - Provide guidance on technical problem-solving
• - Help engineers debug complex issues
• - Create learning opportunities and growth paths
• - Share knowledge through workshops and documentation
• - Build technical competency across the team
• Hands-On Technical Work (25%)
• - Contribute code to critical or complex components
• - Build proof-of-concepts for new approaches
• - Tackle highest-risk technical challenges
• - Develop reusable ML accelerators and frameworks
• - Maintain technical credibility through active coding

ML Tech Lead – GenAI, AWS

• Source and qualify new business opportunities in North America.
• Build and manage a client pipeline across multiple verticals.
• Proactively reach out to prospects via outbound (email, calls, social).
• Coordinate discovery & qualification conversations.
• Partner with Sales leadership to close deals.
• Attend industry events, conferences, and client meetings (travel expected 30% of the time).

Senior Solution Owner – AI, Data Solutions

Senior Technical Solution Manager – AI & Data Platforms

Senior Principal Technical Solution Owner / Product Manager – AI & Data Platforms

Life Sciences Business Development Manager – Business Trips

Senior Full-Stack Engineer, React, TypeScript, Node.js

Mid-Level ML Engineer

Senior Software Engineer – Solutions Architect, Python, GenAI

Senior Software Engineer – Solutions Architect, Python, GenAI

Senior Software Engineer, GenAI, Data & Cloud

Talent Acquisition Partner

Life Sciences & Biotech Business Development Manager – AI, Cloud Solutions

NOC Engineer

Senior ML Engineer, GenAI, AWS

ML Tech Lead – GenAI, AWS

Associate, Middle Business Development Manager – AI, Cloud Solutions