Senior AI Specialist Solutions Architect, AWS Job at Amazon Pforzheim GmbH (Sydney)

Senior Ai Solution Architect, Specialist Sa

Amazon Web Services (AWS) is leading the next phase of AI adoption and is seekin...

Location

Canada , Toronto

Salary:

146000.00 - 211600.00 CAD / Year

myGwork - LGBTQ+ Business Community

Expiration Date

Until further notice

Requirements

7+ years of in design/implementation/operations/consulting with distributed applications experience
5+ years of management of technical, enterprise customer facing resources or equivalent experience
5+ years of working with or evaluating AI systems experience
Experience implementing AI solutions that can include integration of LLMs/multi-modal FMs in large scale systems, fine-tuning LLMs, deployment and distributed inference of LLMs, RAG, FM evaluation, Vector DBs, Agentic workflows, prompt/context engineering, and MLOps
Hands-on experience with AWS ecosystems (including Bedrock, AgentCore, and SageMaker) to set up secure, private-network AI environments, and practical experience implementing Retrieval-Augmented Generation using embeddings, vector stores, and semantic search optimization

Job Responsibility

Build technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation
Manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects
Be the voice of the customer, sharing their needs with regard to their usage of our services impacting the roadmap of AWS GenAI/ML and Agentic features
Link technology to tangible solutions, with the opportunity to define cloud-native GenAI/ML and Agentic architectural patterns for a variety of use cases
Participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about running GenAI/ML and Agentic workloads on AWS technology (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences)
Lead hands-on deep dives and technical workshops, contributing reusable code, reference architectures, and internal technical assets for the broader engineering organization

What we offer

health insurance (medical, dental, vision, prescription, basic life & AD&D insurance)
Registered Retirement Savings Plan (RRSP)
Deferred Profit Sharing Plan (DPSP)
paid time off
other resources to improve health and well-being

Fulltime

Senior AI Solution Architect - Specialist Advisor

The Senior AI Solution Architect will architect and deploy GenAI applications us...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

6–8 years in hands-on AI/ML
3+ years in generative AI and LLM integration (OpenAI, HuggingFace, Anthropic)
Deep Python, NLP, and ML framework experience (TensorFlow, PyTorch, LangChain)
Proven cloud deployment (Azure/AWS/GCP)
Strong ML system architecture skills
Experience designing and orchestrating agentic AI (single/multi-agent) workflows
Practical knowledge of AutoGen and Semantic Kernel
Familiarity with Microsoft AI Foundry for model governance and lifecycle management
Advanced problem-solving, communication, and collaboration skills
Bachelor's degree in Computer Science or Engineering

Job Responsibility

Architect and deploy GenAI applications using Azure, AWS, or GCP
Leverage cutting-edge LLMs, Microsoft Semantic Kernel, and AutoGen to build intelligent single-agent and multi-agent systems for real-world business impact
Collaborate with product, business, engineering, and data teams to solve enterprise challenges with scalable AI
Lead technical execution, mentor engineering talent, and champion best practices in MLOps, CI/CD, and cloud AI
Rapidly prototype solutions—think conversational orchestration, multimodal agents, RAG, and deep learning
Deliver production-grade, compliant AI models using tools like AI Foundry and advanced frameworks
Own documentation, process improvement, and innovation across the AI product lifecycle

Fulltime

Senior GenAI Specialist / AI Engineer - Assistant Vice President

We are seeking a highly skilled and passionate Senior GenAI Specialist to join o...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

5 years+ of experience in AI/ML development, with a proven track record of building and deploying sophisticated GenAI applications
Deep understanding of GenAI models and architectures, including transformers, LLMs (e.g., Llama, Gemini, GPT-4), GANs, and diffusion models. Familiarity with Agentic AI concepts
Extensive experience with prompt engineering, fine-tuning LLMs, and evaluating their performance
Expert-level Python programming skills and proficiency with relevant libraries (e.g., Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, LlamaIndex)
Experience with vector databases (e.g., Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions) and implementing RAG pipelines using tools like LlamaIndex and LangChain
Strong software engineering skills, including containerization (Docker, Kubernetes), CI/CD pipelines, and cloud infrastructure management (AWS, Azure, GCP)
Strong analytical, problem-solving, and communication skills
Experience with MLOps principles and tools
Excellent collaboration skills

Job Responsibility

Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting. Explore and experiment with advanced GenAI concepts like Agentic AI
Design and implement intelligent chatbots
Process and analyze large datasets of structured and unstructured financial data
Architect and implement efficient RAG pipelines, leveraging tools like LlamaIndex and LangChain
Develop and refine advanced prompting strategies for LLMs
Test, evaluate, and analyze the performance of LLM and other GenAI models
Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments, including containerization, CI/CD pipelines, and cloud infrastructure management
Communicate effectively with business stakeholders
Stay up-to-date with the latest advancements in GenAI research and development, including areas like Agentic AI

Fulltime

Systems Integration Senior Specialist Advisor

The Senior Digital Solution Architect role at NTT DATA involves designing and im...

Location

India , Noida

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

10+Experience in solution architecture with an emphasis on business process services
7+ Experience in Banking, Financial Services, and Insurance (BFSI) Industry, Healthcare, Manufacturing
3+ years of experience with automation and machine learning solutions
5+ Years in financial cost modelling
Experience with creating and communicating business value prop to executive in both oral and written format
Bachelors / Masters / PhD degree in Computer Science or related field
Certification or Degree with AI and machine learning
Excellent communication and articulation in English language
Strong excel and math acumen
Excellent problem-solving and analytical skills

Job Responsibility

Architecture & Solution Design
Define and own the technical architecture of AI-native products, ensuring high availability, performance, and security
Architect scalable data pipelines, model training, inference services, and orchestration frameworks
Design cloud-native, containerized architectures (Kubernetes, microservices, serverless functions) optimized for AI workloads
Create reference architectures and reusable design patterns for AI-first product development
Hands-On Technical Execution
Build PoCs, prototypes, and reference implementations to validate architecture decisions
Develop and optimize APIs, vector databases, and real-time inference pipelines for LLMs and ML models
Implement MLOps pipelines for continuous integration, delivery, monitoring, and retraining of models
Ensure observability with logging, monitoring, and tracing for data and AI services

Senior Solutions Engineer

As a NetApp Solutions Engineer (SE) supporting major Federal Systems Integrator ...

Location

United States , Vienna

Salary:

193800.00 - 250800.00 USD / Year

NetApp

Expiration Date

Until further notice

Requirements

Experience architecting or operating enterprise data infrastructure, including storage, cloud, and data management platforms
Expertise in Artificial Intelligence, Cyber Resiliency, Data Security, and IT Automation/Orchestration
Proven experience building on‑premises and hybrid multi‑cloud solutions across AWS, Azure, Google Cloud, and/or classified environments
Familiarity with Federal Systems Integrators, contract capture cycles, and federal program delivery models
Strong communication and presentation skills, with the ability to build trust across technical and business stakeholders
Typically requires 10+ years of relevant experience with a bachelor’s degree (or equivalent work experience)
U.S. citizenship required
active Security Clearance preferred

Job Responsibility

Partner with account executives to develop technical strategies that expand NetApp’s presence and influence across major FSI accounts, programs, and federal agencies
Architect and design hybrid multi‑cloud solutions that integrate NetApp technologies with key ecosystem partners to meet customer mission outcomes
Advise and collaborate with account teams and technical specialists to leverage broader NetApp and partner resources in support of large, complex FSI‑led programs
Conduct customer and partner engagements, demonstrations, and proofs of concept, guiding customers through solution validation and adoption
Build trusted relationships with FSI technical leadership, customer engineering teams, program management, and technical decision‑makers, clearly articulating the business and mission value of NetApp solutions
Represent NetApp at industry events, partner briefings, and customer meetings, both in person and virtually
Provide technical mentorship to peers and contribute to strategic pursuits and capture activities supporting large FSI programs

What we offer

Health Insurance
Life Insurance
Retirement or Pension Plans
Paid Time Off
various Leave options
employee stock purchase plan
and/or restricted stocks (RSU’s)
Volunteer time off (40 hours of paid volunteer time each year)
Employee Assistance Program, fitness, and mental health resources
Paid time off for vacation and to recharge

Fulltime

Enterprise Architecture Specialist - AI&Data

The Senior Enterprise Architecture for the AI & Data Domain will provide central...

Location

United Kingdom , Newbury

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Academic Degree in Information Technology, Information Systems, Business Management, Computer Science, or similar required
3-5 years+ experience within IT programme management, IT Strategy, IT Systems Management, Enterprise Architecture or similar
Up-to-date certifications in Agile Way of Working, with working knowledge of SAFe, SCRUM, Spotify model etc. TOGAF certification is preferred
Outstanding written communications and presentation skillset with both internal stakeholders and external customers
Knowledge of Agile collaboration tools (Jira, Azure DevOps, Confluence, Mural etc)
In-depth understanding of enterprise architecture frameworks such as TOGAF and eTOM, with a proven track record in conducting architectural planning for complex modernization and transformation programs
Proficiency in technology delivery tooling including the creation of architecture deliverables (e.g., architecture diagrams) and demand flow management (e.g., Jira, Confluence), along with excellent technical authoring skills
Strong experience with AI and machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch)
Strong experience in architecting Data warehouse, BI & big data platforms on cloud
In-depth knowledge of cloud platforms such as AWS, Azure Cloud, or Google Cloud

Job Responsibility

Developing or Publishing Reference Architectures and Designs (Logical, Functional, and Application Architectures) that address both market-specific and global strategic priorities in accordance with industry and Vodafone standards
Continuous Evolution of the architectural landscape, ensuring it remains fit for purpose and responsive to changing business demands
Component Definition and Inventory Management: Define V-ODA components in relation to the domain and ensure domain-specific application inventories are accurate and well-maintained
Compliance: Maintain architecture decision logs, draft and update relevant policies, and manage compliance with architectural standards and governance frameworks
High-quality architecture deliverables including comprehensive and accurate architecture diagrams, white papers, and policy and standard documentation
Successful design and implementation of Data & AI architectures
Efficient and scalable Data & AI solutions
Strategic Alignment achieved between local business objectives and global technology capabilities, as evidenced by the successful implementation of Reference Architectures and Designs

What we offer

Discretionary yearly bonus: 10%
Annual leave: 28 days + bank holidays + the opportunity to buy/sell/carry over 5 days/year
Charity days: 5 days/year
Maternity/adoption leave: 52 weeks out of which the first 13 weeks are fully paid followed by 26 weeks of half pay and 6 months - working 4 days, getting paid 5
Paternity leave: 16 weeks fully paid
Private pension: You can contribute up to 5% of your basic pay with 2:1 matching from Vodafone up to 10%
Access to: private medical, private dental, free health assessments, share save scheme
Additional discounts: Vodafone retail, gym, cinema, cycle to work, season ticket loan

Senior Software Engineer

About this role: Wells Fargo is seeking a Senior Software engineer.We are lookin...

Location

India , Hyderabad

Salary:

Not provided

Wells Fargo

Expiration Date

Until further notice

Requirements

4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
4–8+ years of software engineering experience
3–5+ years of hands-on ServiceNow ITSM development
Proven experience with AI/ML-enabled automation or analytics solutions
Strong expertise in ServiceNow ITSM modules
JavaScript (server-side & client-side)
ServiceNow scripting APIs
Experience with Predictive Intelligence / Virtual Agent
Flow Designer, IntegrationHub

Job Responsibility

Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Design, develop, and implement solutions across ServiceNow ITSM modules (Incident, Problem, Change, Request Management)
Customize applications using Business Rules, Client Scripts, UI Policies & Actions, Script Includes, Flow Designer / Workflow Editor
Build and maintain Service Catalog items, workflows, and automations

Fulltime

Cross Technology Managed Services Engineer (L3)

The Managed Services Cross Technology Engineer (L3/4) –Automation is an advanced...

Location

Singapore , Singapore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree or equivalent qualification in IT/Computing (or demonstrated equivalent work experience)
Certifications relevant to the services provided (certifications carry additional weightage on a candidate's qualification for the role)
Relevant certifications include (but not limited to) - VMware certified Professional: DATA Centre Virtualization
VMware Certified Specialist – Cloud Provider
VMware Site recovery Manager: Install, Configure, Manage
Microsoft Certified: Azure Architect Expert
AWS Certified: Solutions Architect Associate
Veeam Certified Engineer (VMCE)
Rubrik Certified Systems Administrator
Storage HDS

Job Responsibility

Works independently, with general direction from the client, stakeholders, team lead, or senior manager, to perform operational tasks to resolve all escalated incidents/requests in a timely manner within the agreed SLA
Timely and consistent updates of tickets with resolution tasks performed
Proactively identifies, investigates, analyses issues and errors prior to or when they occur and log all such incidents in a timely manner
Captures all required and relevant information for immediate resolution
Provides forth level support to all escalated incidents, requests and identify the root cause of incidents and problems, respond to tickets where third line engineer teams were unable to fix the problem
Shares such knowledge, to resolve issues, document them, and push the knowledge down to other engineers
Communicates with other teams and clients for extending support
Acts as emergency support contact as needed, for critical client and business-impacting issues
Supports, tracks, and documents change implementation
Provides timely escalation of all tickets to management with ensuing updates, where applicable

Fulltime

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Senior AI Specialist Solutions Architect, AWS

Job Description

Job Responsibility

Requirements

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