futureproof consulting

AI Engineer

• Define architectures for AI solutions (agents, orchestration, RAG/CAG, memory).
• Produce architectural diagrams and define non-functional requirements.
• Select appropriate design patterns.
• Validate designs via reference artifacts or spikes when needed.
• Design integrations between AI services and enterprise systems.
• Define APIs, contracts, error handling, and authorization models.
• Ensure interoperability across systems and platforms.
• Provide reusable architecture patterns.
• Define retrieval strategies (chunking, embeddings, vector stores).
• Promote reusable components and templates.
• Define acceptance criteria (accuracy, latency, cost, safety).
• Establish evaluation scenarios and quality gates.
• Ensure feedback and telemetry loops are included.
• Embed security-by-design principles.
• Address risks like prompt injection, data leakage, and misuse.
• Ensure observability, traceability, and rollback strategies.
• Define mitigation strategies for AI threats.
• Align solutions with enterprise platforms (Azure OpenAI, etc.).
• Ensure compliance with constraints and standards.
• Identify gaps and propose solutions.
• Make build vs. buy decisions.
• Advise stakeholders on feasibility and trade-offs.
• Lead design reviews and maintain architectural integrity.
• Communicate decisions clearly.
• Maintain architecture documentation and ADRs.
• Define best practices and reusable standards.

Senior AI Architect

• Design agent behaviours, reasoning flows, interaction patterns, delegation rules, and tool-use strategies
• Develop orchestration logic for multi-step, multi-agent, and tool-augmented workflows
• Create and refine prompts, system instructions, behavioural frameworks, validation rules, and safety guidelines
• Build lightweight prototypes and POCs to validate agent logic and orchestration patterns
• Run structured evaluations (reasoning consistency, tool-use correctness, stability)
• Identify hallucinations, edge cases, and failure patterns; propose improvements
• Collaborate with engineers to validate feasibility and maintainability
• Work with architects, engineers, and business teams

Senior AI Engineer

Backend Engineer

• Frontend (React) Develop UI in React (TypeScript). Implement state management, routing, and component libraries. Ensure performance, accessibility, and clean architecture.
• Backend & APIs (Node.js) Build backend services (Node.js/TypeScript). Design REST/GraphQL APIs. Implement validation, caching, rate limiting, and security.
• AI Integration Integrate LLM capabilities via APIs/SDKs. Collaborate with AI teams on orchestration and RAG. Monitor latency, cost, and quality.
• Data & Storage Work with MongoDB, PostgreSQL, Redis. Optimize schema design and performance. Ensure data integrity and security.
• Cloud & DevOps Deploy on Azure/AWS using Docker. Support Kubernetes deployments. Implement CI/CD pipelines and monitoring.
• Quality & Reliability Maintain code quality via reviews and testing. Ensure performance, scalability, and security.
• Collaboration Work with product, design, and engineering teams. Break down requirements and propose solutions. Contribute to shared components and standards.​

Senior Fullstack Engineer – Node.js, AI Solutions

Risk

• Implement and configure Ataccama ONE for enterprise data governance and data quality programs
• Configure data quality rules, profiling, and monitoring pipelines
• Design metadata models, catalogs, and lineage structures
• Support the deployment of Ataccama in cloud environments and enterprise data platforms
• Define and implement data governance frameworks, stewardship models, and roles
• Enable data catalog, glossary, and lineage capabilities
• Integrate Ataccama with data warehouses and cloud platforms (e.g., Snowflake)
• Support integration with enterprise systems and data pipelines
• Assist with onboarding new data sources and domains
• Work with business and technical stakeholders to translate requirements into data governance and data quality solutions
• Support data governance maturity assessments and roadmap creation
• Provide documentation, knowledge transfer, and training
• Monitor platform performance and data quality metrics

Senior Consultant – Ataccama Data Quality & Governance

Customer Success Manager

• Deliver clear, structured training on Creatio (CRM) and Talk Desk (Call Center) functionalities.
• Design and deliver training sessions in person, remotely, and in hybrid formats adapted to diverse user groups.
• Develop training curricula, session plans and learning paths across pre-go-live, go-live and post-go-live phases.
• Create accessible training materials (guides, videos, job aids, e-learning modules) tailored to local workflows.
• Provide hands-on coaching during go-live periods and support clinic staff until systems are confidently adopted.
• Use digital collaboration tools (Miro, Mural, Whiteboard, Teams) to support interactive learning.
• Gather feedback, identify knowledge gaps, evaluate the effectiveness of training, and refine training programs accordingly.
• Collaborate closely with the digital implementation team and local clinic leaders to align training with the rollout plan.

Clinical CRM Trainer

Project Manager

• Lead full lifecycle rollout of EMR, CRM, Talkdesk, mobile app and data platforms
• Develop and maintain detailed rollout plans, timelines and risk management frameworks
• Coordinate data migration, system integrations and go-live readiness
• Conduct stakeholder workshops and drive adoption within clinical teams
• Align regional and local leadership across multiple markets
• Ensure compliance with GDPR and local healthcare regulations
• Define and track KPIs such as system adoption, operational efficiency and user satisfaction
• Identify cross-market dependencies and mitigate risks proactively
• Provide structured updates to senior leadership

Senior AI Architect

Senior AI Engineer

Senior Fullstack Engineer – Node.js, AI Solutions

Senior Consultant – Ataccama Data Quality & Governance

Clinical CRM Trainer

Project Manager – Regional Rollout & Change Lead