VPC AI Solution Designer Job at Vodafone (Luxembourg)

New

Software Development Senior Specialist

The Senior Software Development Specialist will lead the design and development ...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong expertise in Python (8+ years preferred)
Hands-on experience with LLMs and agent frameworks
Deep understanding of Prompt engineering, RAG architecture, Vector databases (Pinecone, FAISS, Weaviate, Azure AI Search), API integrations
Experience with AWS and Azure cloud services
Strong knowledge of REST APIs, microservices, and event-driven architecture
Experience with Git, CI/CD, Docker, Kubernetes
Experience deploying AI systems in production environments
Familiarity with AI governance, model evaluation, and monitoring
Experience integrating enterprise data sources (SharePoint, SAP, CRM, etc.)

Job Responsibility

Design and implement agent-based AI systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar
Develop multi-agent orchestration systems with memory, planning, and tool usage capabilities
Integrate LLMs (OpenAI, Azure OpenAI, Anthropic, open-source models) into enterprise workflows
Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases
Build secure, production-grade prompt engineering frameworks
Develop scalable backend services using Python (FastAPI, Flask, Django)
Build AI microservices and APIs for enterprise integration
Implement async processing, workflow automation, and event-driven systems
Ensure high-quality code with unit tests, CI/CD integration, and best practices
Design and deploy AI solutions on AWS: SageMaker, Bedrock, Lambda, ECS/EKS, API Gateway, DynamoDB / RDS

AWS Pre-Sales Solution Architect

The AWS Pre-Sales Solution Architect partners with our sales teams to qualify an...

Location

United States

Salary:

100000.00 - 120000.00 USD / Year

Tech Holding

Expiration Date

Until further notice

Requirements

2+ years of hands-on architecture or engineering experience with AWS services across compute, storage, networking, and security
2+ years in a pre-sales, sales engineering, or customer-facing consulting role
Proven track record designing and scoping multi-tier cloud solutions for enterprise workloads
Expertise creating Statements of Work, level-of-effort estimates, and migration roadmaps
Strong presentation and white-boarding skills with C-level and technical audiences
Background and experience working in the context of a sales team
AWS Solutions Architect – Associate (or higher) certification
Direct experience executing projects under AWS Migration Acceleration Program (MAP)
Working knowledge of IAM, VPC design, security best practices, and cost optimization
Familiarity with AI productivity tools, including use of RAG-based solutions

Job Responsibility

Engage with customers to gather business and technical requirements through workshops, white-board sessions, and RFP/RFI responses
Design scalable, secure, cost-optimized AWS architectures aligned to customer objectives and industry best practices
Create Statements of Work (SOW), effort estimates, and high-level project plans
Deliver technical presentations, demos, and proofs-of-concept that clearly articulate value and ROI
Collaborate with Account Executives to develop win strategies, deal pricing, and proposal content
Maintain deep knowledge of AWS services, marketplace solutions, and partner programs
Proficiency with architecture and collaboration tools such as Miro, Zod, and the C4 model
Provide thought leadership and mentorship to internal teams on cloud architecture and emerging AWS capabilities

What we offer

Remote Work Opportunities
Flexible Work Hours
Unlimited PTO
Competitive Salaries
Health + Dental + Vision + Life Insurance
Long Term disability + 401k Match
Professional Development Opportunities

Fulltime

Security Architect – GCP & Agentic AI

The Security Architect role focuses on designing secure architectures for Google...

Location

United Kingdom , London

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ year’s experience in information security, cloud security and architecture roles
Strong knowledge of security governance, risk and compliance frameworks (ISO 27001, NIST CSF/800‑53, NIS2, DORA)
Strong communication skills and ability to work with senior stakeholders
Experience mentoring teams or influencing security decisions
Google Cloud Platform (GCP) Cloud‑native architecture design (GCP‑focused)
Deep hands‑on experience with GCP security services and GCP security best practices
Experience architecting secure multi‑project setups and identity boundaries
Agentic AI Security Experience designing security for agent‑based AI systems and LLM‑integrated applications
Hands‑on experience with AI/LLM security controls (prompt security, model governance, secure APIs, orchestration security)
AI‑specific threat modelling expertise

Job Responsibility

Translate business, data protection and security requirements into practical architectural designs leveraging industry frameworks (NIST, ISO 27001, CIS)
Design and maintain cloud‑native security architectures, with deep expertise in GCP architecture, security services, and secure workload design
Establish secure architectural patterns and standards across cloud platforms, with specific focus on GCP IAM, VPC Service Controls, Cloud Armor, Confidential Computing, and secure workload segmentation
Develop security design documentation, diagrams, and rationale aligned with business and compliance requirements
Apply risk‑based and threat‑based approaches to recommend secure and proportionate solutions
Designing security architectures for agent‑based AI systems, including orchestration frameworks, tool‑use agents, and multi‑agent workflows
Implementing AI/LLM security controls across: Model security (input/output filtering, model guardrails), Prompt security, adversarial prompt defense, prompt isolation, API & orchestration security, including secure agent tool use, Data security for vector stores, embeddings, and retrieval services
Performing AI‑specific threat modelling, including: Model extraction & poisoning, Hallucination‑driven risk, Sensitive data leakage, Toxic output & jailbreak attempts
Advising on secure integration of AI with cloud environments, focusing on compliant, privacy‑aware design
Conduct comprehensive risk assessments and threat modelling for cloud and AI systems

What we offer

We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing
Our Learning and Development team ensure that there are continuous growth and development opportunities for our people
We also offer the opportunity to have flexible work options

Cloud Services Solution Architect

Bluestaq is seeking a Cloud Services Solutions Architect to design, develop, and...

Location

United States , Colorado Springs

Salary:

200000.00 - 315000.00 USD / Year

Bluestaq

Expiration Date

Until further notice

Requirements

Deep understanding of AWS services (EC2, S3, Lambda, VPC, etc.)
Demonstrated experience designing, developing, and deploying commercial solutions on AWS
Strong understanding of cloud infrastructure, including compute, networking, storage, and IAM
Hands-on software development experience, with a strong preference for Java-based backend systems
Experience designing and working with containerized applications (Docker, Kubernetes, or similar)
Familiarity with cloud-native design patterns, microservices, and API-driven architectures
Ability to operate at a solutions-architect level, connecting technical decisions to business outcomes
Strong communication skills and the ability to collaborate across engineering and non-technical stakeholders
8+ years of professional experience in software engineering, cloud services, or solution architecture roles
Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)

Job Responsibility

Design/architect cloud-native/hybrid solutions and lead migrations from legacy systems to AWS, embedding IaC, CI/CD pipelines, and self-healing capabilities from day one
Translate business and technical requirements into scalable, maintainable solution architectures
Collaborate with software engineers to design systems with a strong emphasis on Java-based services, APIs, and backend integration
Develop solutions that incorporate containerized workloads using Docker and orchestration platforms (e.g., Kubernetes)
Partner with infrastructure and platform teams to design reliable networking, storage, and compute architectures
Guide teams through architectural decisions related to performance, scalability, reliability, and cost optimization
Ensure solutions are designed with security best practices, compliance considerations, and operational resilience in mind
Conduct architectural reviews and provide technical leadership across solution lifecycles
Stay current with emerging AWS services, cloud patterns, and AI/ML-enabled solution capabilities
Leverages AI agents (Claude Code, AWS Bedrock) for IaC automation, code reviews, and cloud-native DevSecOps workflows

Fulltime

Senior Technical Delivery Manager

We're seeking a Senior Technical Delivery Manager to spearhead enterprise deploy...

Location

Spain , Madrid

Salary:

Not provided

Maisa

Expiration Date

Until further notice

Requirements

Strong, demonstrable experience in technical delivery, solutions architecture, or infrastructure engineering, with experience supporting enterprise software deployments in highly regulated industries (financial services, healthcare, manufacturing)
Deep understanding of cloud infrastructure (AWS preferred), containerization technologies, enterprise networking, as well as security & compliance frameworks relevant to enterprise AI (SOC 2, ISO 27001, GDPR)
Proven track record managing multi-stakeholder technical projects across geographies and organizational boundaries
Cloud & Infrastructure: AWS (VPC, IAM, ECS/EKS, CloudWatch), Docker, Kubernetes, CI/CD pipelines
Enterprise Integration: RESTful APIs, authentication protocols (OAuth, SAML), enterprise databases, ETL/data pipeline concepts
AI/ML Fundamentals: Understanding of LLM architectures, RAG systems, agent frameworks, and enterprise AI governance
Security & Compliance: Experience with enterprise security reviews, data residency requirements, encryption standards, and regulatory compliance
Exceptional communication skills with ability to translate technical concepts for executive stakeholders and build trusted advisor relationships
Calm and composed under pressure, with proven ability to navigate high-stakes situations and de-escalate tension with diplomacy and professionalism
Structured problem-solver who thrives in ambiguous, fast-moving environments with composure under pressure

Job Responsibility

Lead end-to-end technical delivery of Maisa platform deployments across geos and regulatory environments, designing solution architectures for on-premise, private cloud, and hybrid environments that meet stringent enterprise security and compliance requirements while integrating with existing enterprise systems (e.g. legacy systems, ERP/CRM, identity providers, SIEM tools), as well as and troubleshooting complex technical issues spanning containerization (Docker/Kubernetes), networking, API integrations, and enterprise authentication (SSO, MSK, RBAC)
Serve as the primary technical point of contact for strategic enterprise clients, translating complex AI process automation capabilities into business value through solution design workshops, architecture reviews, and executive stakeholder engagement
Partner with Support teams to ensure smooth operational hand off by developing technical documentation, SLA’s, escalation paths and playbooks, while serving as the escalation point for complex technical issues and critical incidents bridging between client team and Maisa internal
Bridge between Client Services, Product Engineering, Applied AI, Security, Support Operations, and customer teams to ensure alignment on requirements and timelines, develop deployment playbooks, identify product enhancement opportunities, and support pre-sales technical validation

Fulltime

Senior Technical Delivery Manager

We're seeking a Senior Technical Delivery Manager to spearhead enterprise deploy...

Location

Spain , Madrid

Salary:

Not provided

Maisa

Expiration Date

Until further notice

Requirements

Strong, demonstrable experience in technical delivery, solutions architecture, or infrastructure engineering, with experience supporting enterprise software deployments in highly regulated industries (financial services, healthcare, manufacturing)
Deep understanding of cloud infrastructure (AWS preferred), containerization technologies, enterprise networking, as well as security & compliance frameworks relevant to enterprise AI (SOC 2, ISO 27001, GDPR)
Proven track record managing multi-stakeholder technical projects across geographies and organizational boundaries
Technical Competencies: Cloud & Infrastructure: AWS (VPC, IAM, ECS/EKS, CloudWatch), Docker, Kubernetes, CI/CD pipelines
Enterprise Integration: RESTful APIs, authentication protocols (OAuth, SAML), enterprise databases, ETL/data pipeline concepts
AI/ML Fundamentals: Understanding of LLM architectures, RAG systems, agent frameworks, and enterprise AI governance
Security & Compliance: Experience with enterprise security reviews, data residency requirements, encryption standards, and regulatory compliance
Key Attributes: Exceptional communication skills with ability to translate technical concepts for executive stakeholders and build trusted advisor relationships
Calm and composed under pressure, with proven ability to navigate high-stakes situations and de-escalate tension with diplomacy and professionalism
Structured problem-solver who thrives in ambiguous, fast-moving environments with composure under pressure

Job Responsibility

Lead end-to-end technical delivery of Maisa platform deployments across geos and regulatory environments, designing solution architectures for on-premise, private cloud, and hybrid environments that meet stringent enterprise security and compliance requirements while integrating with existing enterprise systems (e.g. legacy systems, ERP/CRM, identity providers, SIEM tools), as well as troubleshooting complex technical issues spanning containerization (Docker/Kubernetes), networking, API integrations, and enterprise authentication (SSO, MSK, RBAC)
Serve as the primary technical point of contact for strategic enterprise clients, translating complex AI process automation capabilities into business value through solution design workshops, architecture reviews, and executive stakeholder engagement
Partner with Support teams to ensure smooth operational hand off by developing technical documentation, SLA’s, escalation paths and playbooks, while serving as the escalation point for complex technical issues and critical incidents bridging between client team and Maisa internal
Bridge between Client Services, Product Engineering, Applied AI, Security, Support Operations, and customer teams to ensure alignment on requirements and timelines, develop deployment playbooks, identify product enhancement opportunities, and support pre-sales technical validation

Fulltime

Python AI Engineering Lead

Location

Poland , Białystok; Kielce; Lublin; Poznań; Warszawa; Katowice; Kraków; Wrocław; Łódź; Gdańsk

Salary:

Not provided

Britenet sp. z o. o.

Expiration Date

Until further notice

Requirements

higher education in IT or a related field
experience working in a similar position: 10+ years
advanced knowledge of Python and experience with SDLC (min. 6 years)
knowledge of cloud technologies: Azure, AWS, or GCP
experience working with SQL and NoSQL databases
in-depth understanding of LLMs: embeddings, tokenization, transformers, and API integration
proficiency in prompt engineering and LLM orchestration tools (LangChain, LangGraph, CrewAI, Semantic Kernel)
expertise in agentic AI design patterns
experience in building, improving, and evaluating RAG systems
knowledge of the latest trends and standards in the AI domain

Job Responsibility

designing and implementing modern applications
creating high-performance solution architectures
creating clear and easy-to-maintain project documentation
participation in software deployments and cooperation with users in ongoing problem solving
presenting solutions and their implementations to clients
creative approach to solution design at every stage of the project lifecycle
supporting and mentoring junior developers on the team

What we offer

Unique atmosphere
Team-building events
Flexibility
Development paths
Certifications
Security
Language lessons
Comfort at work
Support for activity

New

Software Development Specialist Advisor

The Software Development Specialist Advisor role requires a seasoned professiona...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Minimum 10 to 12 years of relevant development
3+ years of hands-on AWS architecture experience
2+ years of experience in Generative AI / LLM-based solution development
Proven experience building production-grade AI systems
Strong experience with LLM-based application development
Hands-on experience with LangChain / LlamaIndex or similar frameworks
Hands-on experience with OpenAI / Anthropic / Bedrock / other foundation models
Experience building RAG pipelines
Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch, Aurora PostgreSQL pgvector)
Prompt engineering and evaluation techniques

Job Responsibility

Design and implement secure, scalable, and highly available cloud-native solutions on AWS
Architect microservices-based and event-driven systems using AWS managed services
Lead cloud migration, modernization, and optimization initiatives
Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or CDK
Define and enforce cloud security best practices (IAM, VPC, KMS, encryption, compliance)
Monitor and optimize performance, reliability, and cost (FinOps practices)
Design and develop AI-powered systems using LLMs and foundation models
Build and deploy Agentic AI systems capable of planning, reasoning, tool usage, and autonomous decision-making
Implement RAG (Retrieval-Augmented Generation) architectures
Develop multi-agent systems with orchestration frameworks

VPC AI Solution Designer

Vodafone

Location:
Luxembourg , Luxembourg

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 22, 2026

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VPC AI Solution Designer

Vodafone

Location:Luxembourg , Luxembourg

Category:IT - Software Development

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Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:March 22, 2026

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