Junior Cloud & Data AI Architect Job at Business Integration Partners (Tirana)

Private Cloud AI Solution Architect

The Private Cloud AI Solution Architect is responsible for architecting solution...

Location

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Comprehensive knowledge of Generative AI (GenAI) and the ability to demonstrate, design, and architect solutions
Overall solutioning responsibility for HPE Private Cloud AI solutions that allow the customer to accommodate existing architectures providing a managed-service model data privacy, governance and compliance in order to achieve workloads like inference to achieve predictable operating costs
A track record of delivering AI, private cloud, or enterprise IT solutions with measurable success
Familiarity with NVIDIA-based solutions and HPE’s AI technologies is highly desirable
8–12 years of technical experience in IT with a focus on technical consulting and solution selling
Advanced experience participating in and leading solution configurations and the creation of demos and proofs-of-concept (POC) to meet customer requirements
Advanced understanding of the company portfolio of products, software, services, solution domain specialization, adjacent solution domain(s), and how they can be combined to address customer needs
Advanced ability to translate aaS and complete ecosystem, differentiated value, solutions, and workloads and ability to prioritize aaS offerings and consumption models that will achieve the customer’s outcomes and greatest return
Advanced understanding of aaS business model variations
Advanced ability to collaborate cross-functionally to ensure consistency of output and meet aaS strategic goals

Job Responsibility

Develops compelling customer proposals and critically reviews them, manages the expectations of internal stakeholders and customers, ensuring the meeting of customer’s business and technical requirements are met
Quantifies the impact of the business problem(s), positions business value, identifies the strengths and weaknesses of the overall proposed solution to achieve long-term business objectives
Provides input to all global business units to address IT trends, requirements, gaps, or unmet needs
Translates outcome-based solutions into a functional solution design that aligns to the customers business needs, and then translates that functional design into a technical design and architecture that can be scaled to accommodate growth
Communicates how the solution value propositions addresses customer business needs
Tracks leading-edge and emerging technologies
Contributes to industry development for one or more domains through conferences (content support/presentations, demos, booth support) and industry events, while also monitoring social media
Incorporates an understanding of technology trends within the IT industry, as well as the customer’s industry
Actively gathers and applies competitive intelligence as a critical component of account support
Drives the Account Business Planning process, leveraging knowledge of industry trends and the customer’s technical environment

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

AI ML Architect

At 3Pillar, culture is more than a buzzword. The power of culture, teamwork, and...

Location

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 12+ years of industry experience in machine learning or data science, with a track record of delivering impactful projects
a Ph.D. is highly desirable
Strong grasp of AI architecture patterns (RAG, agent-based systems, prompt orchestration)
Deep experience with Python, ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow)
Hands-on with Gen AI APIs (OpenAI, Claude, Gemini), prompt engineering, embeddings, and fine-tuning
Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker Pipelines)
Familiarity with APIs, microservices, and containerization (Docker, Kubernetes)
Experience in Data Governance, Model Risk Management, and compliance
Extensive knowledge of machine learning theory, algorithms, and methodologies
Strong leadership and communication skills, with the ability to influence stakeholders at all levels of the organization

Job Responsibility

Define end-to-end architecture for AI/ML and Gen AI systems including data pipelines, model training/inference, and MLOps
Serve as a strategic technical advisor to clients, leading solution design discussions, presenting AI/ML architectures, and representing 3Pillar in client-facing interactions to drive innovation and business value
Architect scalable solutions using cloud-native AI tools (Azure ML, AWS SageMaker, or GCP Vertex AI)
Lead the integration of Generative AI into components / features leveraging LLMs into enterprise applications using APIs (OpenAI, Gemini and others) or open source models like LLama
Design retrieval-augmented generation (RAG) systems with vector databases (Pinecone, Weaviate, FAISS and similar)
Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and automated retraining
Evaluate build-vs-buy decisions and benchmark AI tools/platforms
Evaluate emerging technologies and trends in AI, ML, Gen AI space and recommend adoption strategies
Mentor technical teams and guide solution architects, data engineers, and ML engineers
Ensure ethical and responsible AI practices including bias detection, interpretability, and governance

What we offer

Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach
You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams
We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best
Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries
We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally

Fulltime

AppSec & AI Security Architect

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Cybersecurity, Computer Science, or Engineering
10+ years of experience in application or product security architecture, preferably in large enterprise or SaaS environments
Proven expertise in secure application and API design, cloud-native security, and DevSecOps enablement
Proven expertise in secure application and API design, WAAP, and ASPM solutions
Strong experience with Kubernetes (K8s), containerization, and service mesh architectures
Hands-on experience implementing or governing GitOps pipelines and policy-as-code frameworks (e.g., OPA/Gatekeeper, Kyverno)
Knowledge of Zero Trust, data protection, and modern identity standards (OIDC, OAuth2)
Familiarity with AI/ML security risks, model governance, and responsible AI adoption
Deep knowledge of OWASP ASVS, NIST CSF, ISO 27034, and CIS Controls
Desired Certifications: CISSP, CSSLP, SABSA, CCSP, CKA (Certified Kubernetes Administrator), or CCSK.

Job Responsibility

Defining and maintaining secure application architecture patterns, reference designs, and reusable components across enterprise and cloud-native ecosystems
Performing architecture risk assessments and threat modeling for major application programs, APIs, and platforms
Leading adoption of Web Application and API Protection (WAAP) controls and Application Security Posture Management (ASPM) tools to enable continuous risk visibility and compliance
Embedding security controls in SDLC and CI/CD pipelines, including SAST, DAST, SCA, IaC, and container scanning
Designing and governing security for Kubernetes-based and containerized workloads, including service mesh and runtime protection
Developing and enforcing standards for API and microservices security, including authentication, authorization, and token lifecycle management (OAuth2, OIDC, mTLS)
Establishing secure-by-default configurations for CI/CD and GitOps pipelines (e.g., ArgoCD, Flux, Jenkins, GitHub Actions)
Partnering with engineering teams to design secure cloud-native and hybrid architectures across AWS, Azure, and GCP
Providing security guidance for applications leveraging AI/ML or LLM capabilities, such as input/output sanitization, model integrity, and data protection
Establishing application security KPIs, governance models, and maturity metrics

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion.

Fulltime

Cloud Architect

The Cloud Architect will collaborate closely with the Cloud Pillar Leader. The r...

Location

Portugal , Lisbon

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Development and Solution Architectures (OOP, OOAD, Data, Middleware, Scalability, Resiliency) - Demonstrated experience in software and systems implementation & design and overall distributed systems architecture
Cloud platforms (one or more of AWS, Azure, Google Cloud, IBM Cloud) - Minimum 5 years designing, migrating and operating production workloads
Container orchestration & IaC (Kubernetes, OpenShift, Docker, Terraform, Ansible) - Hands-on implementation and architecture
Cloud-native application design, micro-services &-driven architectures - Proven delivery in cloud environments
Secure Development Lifecycle (SCA, SAST, DAST, CSPM) - Experience embedding security tools in CI/CD pipelines
Cloud Design Patterns & reference architectures - Ability to document and reuse patterns across projects
Governance & compliance (e.g. GDPR) - Demonstrated application in previous roles
Strong communication & stakeholder management - Written & verbal fluency for both technical teams and senior management

Job Responsibility

Monitoring the portfolio of both internally and externally cloud-hosted applications and solutions
Driving the move-to-cloud migration program that transfers workloads onto company internal cloud platforms
Liaising with business and technology leaders, to drive agendas forward in a fast paced and evolving landscape
Define & design cloud-architecture solutions that align with clients objectives, security, regulatory requirements, and the overall TA technology strategy
Support the Cloud pillar activity – monitor the external SaaS portfolio, assess risk and maturity, and drive the migration roadmap for all in-scope applications
Deliver architectural blueprints, design patterns, and reference frameworks (e.g., Cloud Design Patterns, CI/CD, IaC) for development teams and ensure reuse across projects
Advise development squads/teams on cloud-native design, API strategy, DevOps practices, data-analytics, AI/ML integration and open-source tooling (Docker, Kubernetes, OpenShift, Terraform, Ansible)
Define, enforce, and evolve governance processes – cloud-security standards, Secure Development Lifecycle (SCA, SAST, DAST), compliance checks and cost-management policies
Stay up to date on latest trends and evolution on the cloud landscape - cloud services, industry trends and fintech innovations
Support the validation of emerging technologies and tools and tracking proofs-of-concept with internal teams, external fintech partners or vendors

Fulltime

New