Lead the integration of artificial intelligence and Generative AI capabilities into existing organizational workflows, applications, and business processes.
Locations (3)
Kochi, Kerala, India
Bangalore, Karnataka, India
Visakhapatnam, Andhra Pradesh, India
Responsibilities
Design end-to-end AI and Generative AI solution architectures
Define appropriate architecture patterns for Generative AI, Agentic AI, RAG, Machine Learning, intelligent automation, conversational AI, and AI-enabled enterprise applications
Collaborate with business and technology stakeholders to evaluate AI use cases, identify suitable technologies, assess technical feasibility, and define implementation roadmaps
Translate business requirements, functional requirements, and non-functional requirements into scalable and secure solution architecture designs, architecture diagrams, integration patterns, and technical specifications
Lead whole-plant modelling activities, set technical direction, manage the modelling team and develop computational modelling capabilities for future fusion power plants.
Compensation
A salary of £71,815 (inclusive of a £7,700 specialist allowance)
Responsibilities
Lead whole-plant modelling activities
Deliver complex modelling and research programmes
Manage the Power Plant Modelling and Integration group’s modelling team
Provide expert technical leadership on challenging modelling issues
Develop and approve new computational modelling capabilities
Operate and maintain AI services in production, ensuring reliability, performance, and cost-efficiency for a public transport organisation’s AI Centre of Excellence in Brussels.
Compensation
You will be part of a growing Belgian SME where initiative and personal development are encouraged. We will provide you with an enjoyable work environment with fun colleagues. We will work out a career plan with you, with attention and a budget for extra education/certification. You can count on an attractive salary, supplemented with extra-legal benefits, including a company car.
Responsibilities
Operate AI services in production by monitoring availability, latency, and errors
Handle incidents and service requests, analyse root causes, and fix or escalated issues
Maintain answer quality by running evaluation sets and tracking user feedback
Operate ingestion pipelines and manage content source onboarding
Monitor agent integrations with business systems and review action logs
Design and deliver enterprise-scale data platforms on Microsoft Azure and Databricks, including data lake, warehouse, and lakehouse architectures, governance, security, and technical leadership.
Responsibilities
Design scalable data lake, data warehouse, and lakehouse architectures on Azure and Databricks
Define Databricks architecture covering Unity Catalog, Delta Lake, Workflows, SQL Warehouses, Lakeflow, notebooks, AI/ML and model serving
Design networking, identity and access management, security, governance, monitoring, and environment strategies
Define data integration patterns for batch, streaming, APIs, messaging, and data virtualization
Establish infrastructure automation, deployment standards, performance optimization, and cost management
Lead a cross‑functional engineering team to develop decision‑support products for airline operations, focusing on optimisation, scheduling and crew planning.
Compensation
Competitive base salary + up to 20% bonus
Responsibilities
Lead, mentor and develop a cross‑functional engineering team
Provide technical leadership across software architecture, services, APIs, data pipelines and optimisation platforms
Shape roadmaps, define outcomes and translate complex business requirements into deliverable engineering solutions
Collaborate with optimisation specialists to integrate solver technologies into production systems
Establish and maintain strong engineering practices including code reviews, automated testing, CI/CD, release management, operational monitoring, incident management and performance optimisation
Definition and elaboration of test procedures, component characterization, inspection and testing, research and improvements in equipment calibration, support in R&D projects
Compensation
Permanent contract and competitive remuneration
Responsibilities
Definition and elaboration of test procedures
Definition and elaboration of procedures for component characterization
Inspection and Testing: elaboration of inspection techniques, testing methods, and statistical analysis
Research, testing and definition of criteria for equipment validation
Research, testing and improvements in equipment calibration
Requirements
Degree in Physics Engineer, Photonics or similar fields
Design, implement, and maintain enterprise observability and monitoring stack across hybrid/cloud platforms.
Responsibilities
Deploying, configuring and maintaining monitoring and alerting systems including Operations Bridge Manager, Network Node Manager, Zabbix, Prometheus, and Graylog
Developing enterprise-wide SLIs/SLOs and ensuring effective alerting aligned to business impact
Serving as the primary development escalation point for NOC, operations, and product teams
Leading complex incident resolution, root‑cause analysis, and post‑incident improvement plans
Driving automation initiatives: monitoring provisioning, configurations, and remediation workflows
Requirements
Bachelor’s in Computer Science, Engineering, or equivalent
Nice to have: NewRelic
Nice to have: Dynatrace
Nice to have: Enterprise OpenTelemetry pipeline design
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