This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description - As a Solutions Architect, you will be responsible for designing, planning, and implementing scalable, cloud-based, and on-premise data and ML architectures and backend services. - You will collaborate with internal teams, clients, and stakeholders to build state-of-the-art solutions across Big Data, machine learning, and real-time analytics environments. - Your role will focus on delivering high-quality, innovative solutions while adhering to best practices in architecture, security, and compliance. - As a Solutions Architect, you will provide strategic technical leadership on complex, high-impact customer engagements. - You will design advanced technical solutions, manage technical risks, and collaborate with cross-functional teams to ensure successful solution delivery. - Your role will involve driving innovation, optimizing customer KPIs, and mentoring other architects and technical leaders. Responsibilities - Lead the design and implementation of data and AI/ML architecture solutions across cloud and on-premise platforms. - Lead complex customer engagements, providing strategic technical vision and aligning solutions with customer business goals. - Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor. - Lead technical workshops, training sessions, and presentations. - Define and execute data lifecycle processes: ingestion, storage, processing, and visualization. - Collaborate with business units and stakeholders to align solutions with business goals. - Ensure solutions adhere to security, compliance, and architecture frameworks (e.g., AWS Well-Architected, GCP Architecture Framework). - Lead cross-functional teams, providing mentorship and guidance to technical talent. - Design and execute proofs of concept for emerging technologies like Generative AI, Machine Learning. - Drive backend/ML services best practices for scalable and maintainable solutions. - Oversee data governance and data quality processes across platforms. - Stay updated with the latest technology trends and continuously improve the architecture strategy. Requirements - 7+ years of experience in solutions architecture, with a strong focus on Big Data and cloud platforms (AWS, GCP, Azure). - Excellent communication and problem-solving skills, with the ability to work across multiple projects and articulate complex technical concepts to both technical and non-technical audiences. - Technical sales or pre-sales experience with cloud and big data, and ML solutions. - Strong leadership and team collaboration abilities. - Strategic thinking with a focus on delivering measurable business value. - Proven ability to build strong relationships with customers and act as a trusted advisor. - Proficiency in data engineering and analytics, designing data pipelines and architectures using AWS, GCP, or Azure data stack. - Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions. - Proven experience with data lakes, data warehouses, and real-time data analytics. - Proven experience with microservice architecture and containerized deployment options. - Hands-on experience with Kubernetes, Docker, and containerized applications. - Proficiency in any of backend-related languages: TS, Java, Python, and others. - Solid understanding of machine learning and MLOps tools (PyTorch, SageMaker, MLFlow). - Demonstrated ability to lead and mentor cross-functional teams. - Familiarity with agile methodologies. Nice to Have - Experience in Generative AI implementations. - Proficiency with graph databases (Neo4j, AWS Neptune). - Knowledge of data mesh principles and data contracts. - Operational knowledge of infrastructure deployment tools like AWS CDK, CloudFormation, and Terraform. Company Description Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. With offices in North America, LATAM, and EMEA, Provectus partners with clients around the world and is obsessed with leveraging cloud, data, and AI to reimagine the way clients operate & compete.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Growe welcomes those who are excited to: - Define and drive the company-wide AI strategy, identifying key opportunities for AI transformation across products, engineering, and operations; - Develop and maintain the AI adoption roadmap, including the selection of AI technologies, tools, and platforms; - Integrate AI solutions into company processes, including software development, data analysis, QA/testing, documentation, and customer support workflows; - Build and support internal platforms and tools that enable teams to effectively leverage AI capabilities; - Collaborate with engineering, analytics, and product teams to identify and implement practical AI use cases; - Lead internal AI initiatives, including experimentation, proof-of-concept projects, and rapid evaluation of emerging AI tools; - Educate and support teams in adopting AI tools and best practices through workshops, training sessions, and internal knowledge sharing; - Promote and develop a strong AI-driven culture across the organization; - Provide internal AI consulting to business units, helping identify opportunities and evaluate the potential ROI of AI initiatives. Qualifications - 8+ years of experience in technology companies, preferably in software engineering, platform engineering, or data/AI-related roles; - Proven experience implementing new technologies and driving technical transformations at an organizational level; - Hands-on experience working with modern AI technologies and ecosystems, including LLM-based tools and AI-powered workflows; - Strong understanding of AI solution architecture and integration of AI tools into developer workflows; - Experience leading process improvements or transformations in engineering teams; - English - upper-intermediate or higher (able to communicate in technical discussions); - Experience implementing AI coding assistants or AI tools for developer productivity (will be a plus); - Experience working with AI agents or agent-based systems (will be a plus); - Experience building internal developer platforms or engineering productivity tools (will be a plus); - Experience working with data platforms or ML infrastructure (will be a plus). Requirements - Strategic thinking and the ability to identify high-impact AI opportunities; - Strong problem-solving and experimentation mindset; - Strong communication skills and the ability to explain complex technical concepts in a clear and accessible way; - Ability to influence teams and drive change without direct managerial authority; - Curiosity and passion for emerging technologies and innovation; - Ability to balance long-term strategy with fast experimentation and practical delivery. Benefits - Medical insurance and financial aid; - Benefit Cafeteria (compensation for the gym/stomatology/psychological service & etc.); - 100% paid sick leaves; - Paid vacation; - Annual salary review (based on performance); - Quarter bonuses according to the company’s policy; - Individual annual training budget which allows to visit paid conferences, training sessions, English lessons, workshops, etc.; - Growe University (Leadership Programs, Knowledge sharing, Webinars, etc.); - Personal development plan; - Corporate events and team-building activities; - Growe Care (Well-being Program); - Free lunches at the office.

Location: EMEA (CET) We are looking for a Senior AI Enablement & Implementation Engineer to deliver AI-enabled workflows across internal teams. This role focuses on translating business needs into structured AI use cases, coordinating cross-functional implementation, and ensuring adoption through documentation, training, and governance. You will own the lifecycle of AI initiatives, maintain a centralized AI knowledge base, and ensure solutions are reliable, reusable, and easy to use for both technical and non-technical teams. WHAT YOU'LL DO: - Translate real business problems into clear AI requirements, prompts, and workflows. - Design context and evaluation frameworks so AI outputs are reliable, measurable, and reusable. - Lead AI-enabled projects involving summarization, generation, classification, or decision support. - Own the AI Knowledge Base and Use Case Repository, keeping documentation fresh and preventing duplicate work. - Deliver tailored AI trainings, workshops, and practical sessions for both technical and non-technical teams. - Facilitate hands-on experimentation focused on real operational needs. - Scout new AI tools and models, run quick POCs, and assess their value before wider adoption. - Build adoption roadmaps, track usage metrics, gather feedback, and iterate on workflows. - Support AI Champions, moderate internal AI communication channels, and contribute to a strong AI culture. - 5+ years managing cross-functional projects in digital advertising, marketing tech, or software. - Analytical mindset with the ability to identify system issues and unblock teams. - Proven experience leading AI, automation, or other innovation-focused initiatives within an organization. - Strong facilitation and communication skills — able to tailor discussions for both technical and non-technical audiences. - Familiarity with large language models, creative AI tools, and API-based workflows. - Clear, thoughtful communicator — you write documentation and instructions people actually use and understand. - Engineering background (preferably backend). - Located in the EMEA region, working CET hours. NICE TO HAVE: - Hands-on experience with prompt engineering, Python, or SQL. - Certifications in project management methodologies. - Experience in AdTech, MarTech or Client support area. WHAT WE OFFER: - USD compensation that values your expertise.‍ - Work from anywhere: Fully remote to suit your lifestyle.‍ - 31 days of paid time off: 21 days of annual leave + 10 days of sick leave, because your health and work-life balance matter.‍ - Growth-focused environment: Access to learning resources and clear pathways for growth.‍ - Fun team events: Virtual cooking classes, yoga sessions, team quizzes and more - ‍A culture of trust: We cut the red tape — results over rules always. Open talk, ownership, and getting things done together.

WHAT WE DO Founded in 2007, Growth Acceleration Partners (GAP) is a consulting and technology services company. We consult, design, build and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses achieve a competitive advantage through technology. GAP’s remote, integrated engineering teams use end-to-end solutions to innovate and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry, GAP’s focus is customer and employee success. GAP is a woman-owned company headquartered in Austin Texas. We are a values-based company focused on growing our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while enabling our GAPSters and our communities to attain long-term success. Summary We are looking for a Staff / Lead AI Software Engineer to design and deliver AI-accelerated integrations across cloud platforms, healthcare systems, and internal automation workflows. This role goes beyond traditional software development. The engineer will operate within an AI-native development workflow, using tools such as Claude, ChatGPT, or Gemini as core development accelerators for coding, debugging, documentation, and solution design. The focus of the role is building cloud integrations, automation pipelines, and AI-driven services across Azure, Google Cloud Platform, and enterprise healthcare systems. The engineer will combine AI-assisted development, Python automation, and API orchestration to rapidly deliver solutions that connect cloud services, healthcare platforms, and internal AI agents. As a Staff-level engineer, you will also influence architectural decisions, define integration patterns, and help accelerate development across distributed teams. Education - Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience. Professional Experience •6+ years of experience in software engineering, cloud engineering, or system integrations •Experience building cloud integrations, automation pipelines, or API-based platforms •Hands-on experience with Azure environments and enterprise cloud services •Experience using AI tools such as Claude, ChatGPT, or Gemini to accelerate development workflows •Strong experience with Python for automation, integrations, or data processing •Experience working with REST APIs, authentication flows, and enterprise data integrations Key Responsibilities •Build and maintain AI-accelerated integrations and automation workflows across cloud platforms and enterprise systems. •Design and implement integrations between Azure services, enterprise platforms, and internal AI agents. •Develop automation scripts and integration logic using Python, PowerShell, and API-based services. •Work with REST APIs, Microsoft Graph, OAuth authentication flows, and JSON-based integrations. •Transform and process data from systems such as SQL Server, Dataverse, and enterprise data sources. •Design and maintain automation workflows using tools such as Power Automate or n8n. •Rapidly prototype and deploy integration solutions using AI-assisted development workflows. •Collaborate with technical leadership to define scalable integration patterns and automation strategies. Technical Skills Strong experience in several of the following areas: •Cloud Platforms: Microsoft Azure and Microsoft 365 environments, with familiarity with Google Cloud Platform. •Programming & Automation: Python, PowerShell, SQL, and basic scripting for automation and integrations. •APIs & Integration: REST APIs, Microsoft Graph API, OAuth/OpenID authentication flows, JSON-based integrations. •Data Handling: SQL Server or Dataverse, data transformation, and structured/semi-structured data formats. •Automation Tools: Workflow automation platforms such as Power Automate, n8n, or similar orchestration tools. •AI-Accelerated Development: Experience leveraging LLM tools such as Claude, ChatGPT, or Gemini to accelerate engineering workflows. Nice to Have •Experience integrating healthcare platforms or EMR systems •Familiarity with HL7 / FHIR healthcare data standards •Experience with Vertex AI, Gemini APIs, or AI agent frameworks •Experience working in regulated environments such as healthcare Soft Skills •Advanced English proficiency •Strong ownership mindset and ability to operate autonomously •Ability to move quickly and deliver rapid prototypes •Strong problem-solving and integration troubleshooting skills •Comfortable working in AI-native engineering environments At Growth Acceleration Partners, we're an equal opportunity employer committed to building a diverse and inclusive team. We value everyone's unique background, and we provide equal opportunities regardless of race, color, creed, religion, sexual orientation, gender identity, age, national origin, disability, marital status, veteran status or any other personal right protected by law. We foster a culture of belonging and strive to provide a welcoming environment where everyone feels safe to contribute and grow.