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.

• Design and build complex agentic systems with multiple interacting agents • Implement robust orchestration logic (state machines / graphs, retries, fallbacks, escalation to humans) • Implement RAG pipelines, tool calling, and sophisticated system prompts for optimal reliability, latency, and cost control • Apply core ML concepts to evaluate and improve agent performance, including dataset curation and bias/safety checks • Lead the development of agents using Google ADK and/or LangGraph, leveraging advanced features for orchestration, memory, evaluation, and observability • Integrate with supporting libraries and infrastructure (e.g., LangChain/LlamaIndex, vector databases, message queues, monitoring tools) with minimal supervision • Define success metrics, build evaluation suites for agents (automatic + human evaluation), and drive continuous improvement • Curate and maintain comprehensive prompt/test datasets; run regression tests for new model versions and prompt changes • Deploy and operate AI services in production, establishing CI/CD pipelines, observability, logging, and tracing • Debug complex failures end-to-end, identifying and document root causes across models, prompts, APIs, tools, and data • Work closely with product managers and stakeholders to shape requirements, translate them into agent capabilities, and manage expectations • Document comprehensive designs, decisions, and runbooks for complex systems

About Atos Group Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris. The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. NA Data and AI Technical Advisor- Databricks Location: North America (Remote) Role Type: Full-Time Reports To: Head of Data and AI Technical Advisory, North America Mission To accelerate client transformation through co-innovated Data and AI solutions by forging strategic partnerships with Databricks and delivering scalable, high-impact architectures that solve real business challenges. Role Overview As a NA Data and AI Technical Advisor – Databricks, you will act as a trusted advisor and thought leader, driving innovation, enabling internal teams, and ensuring seamless integration of Databricks’ advanced Data & AI capabilities into client solutions. You will directly influence Atos’ Data & AI strategy across North America, accelerate market penetration, and drive growth and revenue by shaping go-to-market initiatives, enabling co-sell motions with Databricks, and creating differentiated solutions that win strategic deals. This role requires a blend of technical depth, strategic leadership, and relationship-building skills to work cross-functionally with Alliance, Data & AI Delivery, Pre-Sales, Learning & Development, and Marketing teams. Key Responsibilities Technical Expertise & Certification - Maintain and advance Databricks certifications (e.g., Databricks Certified Data Engineer Professional) - Stay ahead of Databricks product releases, roadmap updates, and partnership programs Sales & Pursuit Alignment - Serve as technical advisor during pre-sales engagements involving Databricks - Tailor solution demos, PoCs, and compelling value stories leveraging Databricks Lakehouse Platform - Ensure compliance with Databricks co-sell requirements and funding programs Internal Enablement & Knowledge Sharing - Support L&D Teams in developing certification and enablement strategy for Databricks technologies within North America - Lead internal workshops, labs, and knowledge-sharing sessions - Maintain solution patterns and accelerators aligned with Databricks architecture Delivery Enablement - Support seamless handoff from pre-sales to delivery teams for Databricks projects - Gather feedback from delivery to refine future implementations - Ensure adherence to Databricks best practices and reference architectures Asset & IP Development - Build and maintain Databricks reference architectures, boilerplates, and templates - Codify repeatable solutions leveraging Databricks in a differentiated way - Collaborate with Marketing and Alliance teams on case studies, white papers, and thought leadership Partnership Engagement - Act as liaison between Atos Data & AI Business Line, Atos Alliances, and Databricks partnership teams - Represent Atos at Databricks events, conferences, and advisory councils Strategic Reporting - Track and report on: - Databricks certifications and enablement status within Atos North America - Databricks-aligned revenue - Use case wins, PoCs, and customer success stories What We’re Looking For - Sense of Agency: Ability to take ownership and drive initiatives independently. - Strategic Leadership: Experience in shaping and executing Databricks-aligned strategies. - Technical Depth: Strong expertise in Databricks Lakehouse Platform and related technologies. - Soft Skills: Exceptional communication and relationship-building skills. - Cross-Functional Collaboration: Proven ability to work across multiple teams and stakeholders. - Detail Orientation: Meticulous approach to solution design and execution. Preferred Qualifications - 8+ years in technical advisory, solution architecture, or similar roles. - Hands-on experience with Databricks Lakehouse Platform, Delta Lake, MLflow, and Spark. - Familiarity with Databricks partner programs, co-sell motions, and funding mechanisms. - Thought leadership demonstrated through blogs, speaking engagements, or community contributions. - Knowledge of integration with other technologies such as SAP, GCP, Azure, AWS, and enterprise data platforms is a strong advantage. Why Join Us? - Be part of a global leader driving AI-powered transformation. - Work at the intersection of innovation and execution, influencing strategic partnerships. - Access continuous learning and career development opportunities. - Contribute to Atos’ commitment to ESG leadership and diversity. Choose your future. Choose Atos.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Imagine a bank that actually understands you—one that reads your spending patterns, predicts what you need before you ask, and talks to you like a smart financial friend, not a corporate robot. Mal is building the world's first AI-native Islamic digital bank where every interaction is powered by intelligent conversation, ethical principles, and interfaces that adapt to your life in real-time. Backed by $230M and led by the minds behind Revolut and Nubank, they're launching in 2026 to serve 2 billion Muslims and underbanked communities who've been ignored by traditional finance. - Build high-performance, responsive mobile UIs with React Native and TypeScript for iOS and Android - Design modular component systems and data-rich mobile dashboards optimized for touch interfaces - Integrate AI-driven logic, context persistence, and LLM-powered interactions into native mobile experiences - Collaborate with backend, ML, and product teams to deliver adaptive financial workflows for mobile users - Optimize performance, scalability, and accessibility across iOS and Android devices (battery life, network efficiency, native animations) Qualifications - 5–8 years in mobile engineering, ideally building complex financial or data-rich mobile applications - Strong in React Native (Hooks, Context API, performance optimization, native module integration) - Expert in TypeScript for React Native development - Production experience with iOS and Android deployment (App Store + Google Play) - Fluent in mobile-first UI architecture, responsive layouts, and component design systems - Native platform knowledge (iOS/Android specifics, platform APIs, performance patterns) - Solid grounding in Git, CI/CD for mobile, and automated deployment workflows (Fastlane, CodePush, etc.) Benefits - Direct work with the customer, ownership culture. - 20 working days of vacation and 15 sick leaves (all Ukrainian public holidays included). - Health insurance (after trial). - Fitness membership (after trial). - Company legal and accounting support. - Flexible working hours (no time trackers). - Corporate events.