Straive is a global leader in data analytics and AI operationalization, helping enterprises embed advanced AI and data capabilities into core business workflows to deliver measurable business outcomes and ROI. With a workforce of ~20,000 professionals serving 350+ clients across 30+ markets, Straive combines technical scale with deep domain expertise. A key differentiator is its network of over 6,000 subject matter experts who specialize in managing and enriching complex, unstructured data enabling organizations to build AI systems grounded in accuracy, context, and business relevance.
The company continues to earn recognition from leading industry analysts and was recently named a Leader in AIM’s 2026 Generative AI and Data Engineering PeMa Quadrants. Backed by EQT a purpose-driven global investment organization which was ranked among the world’s leading private equity firms by PEI in 2025 Straive is positioned as a high-value alternative to traditional IT services providers, combining domain-led intelligence with AI execution at scale.
Job Description
- 10+ years in ML/Engineering.
- At least 5 years in architecture roles.
- Hands-on ownership of end-to-end application lifecycle—from design to deployment.
- Proven track record of communicating complex technical concepts to both developer teams and executive stakeholders
Responsibilities
- Lead architecture and development of enterprise web applications with integrated Generative AI.
- Serve as a primary technical partner to clients and developers, guiding them from early experimentation through production scale deployments
- Roll up your sleeves on POCs, prototypes, and pilots, and help clients operationalize them into production-grade systems
- Design and validate end-to-end AI and GenAI solutions architectures spanning the full stack, from foundation model integration to agentic workflows, orchestration, evaluation, and observability.
- Define scalable, secure architectural patterns and implementation standards.
- Work closely with product, AI/ML, DevOps, security, and network teams to align business and technical goals.
- Drive full-stack development best practices across backend, frontend, and infrastructure.
- Architect and integrate LLMs, embeddings, RAG pipelines, and vector databases into production systems.
- Ensure production readiness—security, networking, monitoring, performance, and compliance.
Mandatory Technical Skills
- Deep experience designing cloud-native, microservices and event-driven architectures. Expertise with Azure App Services, AKS, Functions, API Management, Event Grid, Service Bus, Storage, and Key Vault.
- Strong understanding of subscription design, resource hierarchy, and environment isolation.
- Experience with OAuth2, SSO, and secure coding aligned to GDPR/SOC2.
Networking & Security
- Hands-on experience with:
- VNETs, subnets, private endpoints, service endpoints.
- NSGs, ASGs, routing, firewalls, and VPN/ExpressRoute connectivity.
- Whitelisting, IP restrictions, certificates, TLS, and enterprise-grade authentication flows.
- Experience implementing Zero Trust, RBAC, managed identities, and secure secret handling.
Performance & Scalability
- Expertise in caching (Redis/CDN), async processing (RabbitMQ/Kafka), load balancing, auto-scaling, and performance tuning.
GenAI Integration
- Hands-on experience with Azure OpenAI, RAG patterns, embeddings, prompt engineering, vector search (Azure AI Search, PostgreSQL extensions).
- Experience orchestrating LLM pipelines in real-world production environments.
- Strong REST API design (versioning, throttling, API gateways).
- Expert in PostgreSQL/MongoDB, data modeling, query optimization.
Frontend Engineering
- Deep experience with React/Next.js, component libraries, and enterprise UI patterns.
DevOps & IaC
- Strong proficiency with:
- Azure DevOps or GitHub Actions CI/CD.
- Docker, Kubernetes (AKS), Helm.
- Terraform or Bicep for infrastructure automation.
- Experience managing production roll-outs, blue-green deployments, and canary releases.
Real-Time & Scalable UI
- Knowledge of WebSockets/SSE, state management, and high-performance UI rendering.
Testing & Observability
- Experience with automated unit/E2E testing.
- Strong knowledge of logging, tracing, monitoring (App Insights, Log Analytics), and alerting.