Senior Cloud Solutions Architect (AI/ML Focus) Job at Dutech Systems (Austin)

Senior Solutions Architect & Customer Advisor – Hybrid Cloud, Data and AI

We are seeking an exceptional Senior Solutions Architect & Customer Advisor to s...

Location

United States

Salary:

161000.00 - 268300.00 USD / Year

Rackspace

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering or related field
MBA or relevant graduate degree preferred
15+ years of hands-on experience in cloud architecture, enterprise infrastructure or solutions architecture
Proven track record designing and implementing large-scale cloud solutions for enterprise clients
Deep expertise in Hybrid Cloud and Data Center architecture with focus on at least two major platforms (AWS, Azure, GCP) and experience with private cloud platforms (VMware, OpenStack)
Strong technical foundation in infrastructure, networking, security, and cloud-native development
Demonstrated ability to architect solutions from requirements through implementation
Experience working with Banking & Financial Services or Healthcare clients on cloud initiatives
Information security, risk management, and regulatory expertise
Understanding of industry-specific operational models and applications

Job Responsibility

Lead technical discovery engagements to assess current cloud maturity, identify hybrid cloud opportunities, and understand infrastructure and application modernization requirements
Conduct comprehensive assessments of customer technology environments to identify gaps, risks, and transformation opportunities
Translate customer business challenges into technical requirements and cloud architecture specifications
Design end-to-end cloud solutions across private cloud, hybrid cloud, and data center ecosystems, including network and cybersecurity
Develop technical roadmaps that align cloud strategy with business objectives
Create proofs-of-concept, reference architectures, and migration strategies
Architect and optimize hybrid cloud solutions across AWS, Azure, and/or GCP platforms, ensuring resilience, scalability, and operational excellence
Design cloud-native architectures leveraging infrastructure-as-code (Terraform, CloudFormation), automation, and DevOps practices
Provide technical leadership on data center modernization, VMware environments, and private cloud platforms
Advise on AI/ML integration, intelligent automation, and emerging cloud technologies

What we offer

incentive compensation opportunities in the form of annual bonuses or incentives, equity awards, and an Employee Stock Purchase Plan (ESPP)

Fulltime

Senior Cloud Data Architect

As a Senior Cloud Architect, your role will focus on supporting users, collabora...

Location

Spain , Barcelona

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Strong expertise in Azure cloud infrastructure, Data & AI technologies, and data platform management, with proficiency in Azure Synapse Analytics, Azure Machine Learning, Azure Data Lake, and Informatica Intelligent Data Management Cloud (IDMC)
Proven experience in modern Data Warehouse architectures (e.g., Lakehouse) and integrating machine learning models and AI capabilities using Azure services like Cognitive Services and Azure Bot Service for predictive analytics and automation
In-depth knowledge of data security and compliance practices using Azure AD, Azure Key Vault, and Informatica’s data governance tools, focusing on data privacy and regulatory standards
Expertise in optimizing resource usage, performance, and costs across Azure services and IDMC, leveraging tools like Azure Cost Management and Azure Monitor, and skilled in ETL/ELT tools and advanced SQL
Proficiency in data integration, machine learning, and generative AI from an architectural perspective, with hands-on experience in Python, SQL, Spark/Scala/PySpark, and container solutions like Docker and Kubernetes
Experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins), microservices architectures, and APIs, with knowledge of architecture frameworks like TOGAF or Zachman, adept at managing multiple priorities in fast-paced environments, and excellent communication and presentation skills
Over 5 years of experience in cloud architecture focusing on Data & AI infrastructure, particularly in Azure, with expertise in building scalable, secure, and cost-effective solutions for data analytics and AI/ML environments.

Job Responsibility

Define and prioritize new functional and non-functional capabilities for the cloud-based data platform, ensuring alignment with business needs and Allianz's security, compliance, privacy, and architecture standards
Act as the platform SME for both potential and existing users, guiding them in the architecture of scalable, high-performance Data & AI solutions
Provide leadership and product guidance to engineering teams during the design, development, and implementation of new platform capabilities
Ensure all solutions meet defined quality standards and acceptance criteria
Work with stakeholders to co-create data solutions, optimizing business models and identifying opportunities for improved data usage
Lead the evaluation and selection of technologies and partners to implement data analytics use cases, focusing on proofs of concept and prototypes
Stay up to date with emerging trends in Data, Analytics, AI/ML, and cloud technologies
Leverage open-source technologies and cloud tools to drive innovation and cost-efficiency
Prepare materials for management briefings and public events
Represent the team in technical discussions, particularly regarding architecture and platform capabilities.

What we offer

Hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
Rewarding performance through company bonus scheme, pension, employee shares program, and multiple employee discounts
Career development and digital learning programs to international career mobility
Flexible working, health and wellbeing offers (including healthcare and parental leave benefits)
Support for balancing family and career and helping employees return from career breaks with experience that nothing else can teach.

Fulltime

Senior Data Solutions Architect with AWS

Provectus, a leading AI consultancy and solutions provider specializing in Data ...

Location

Poland , Wroclaw

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data solution architecture, with at least 3 years focused on AWS
Proven experience in designing and implementing large-scale data engineering solutions on AWS
Experience with Databricks is a plus
Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS
Proficient in programming languages like Python, SQL, and Scala
Experience with data warehousing, ETL processes, and real-time data streaming
Familiarity with open-source technologies and tools commonly used in data engineering
AWS Certified Solutions Architect – Professional or similar AWS certifications are a plus
Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders

Job Responsibility

Lead complex, high-impact customer engagements focused on AWS Data Platform solutions
Define and drive technical strategies that align AWS capabilities with customer business objectives, incorporating Databricks (as a plus) solutions where appropriate
Architect and design scalable data platforms using AWS, ensuring optimal performance, reliability, security, and cost efficiency
Evaluate and select appropriate technologies and tools to meet customer needs, integrating AWS services with other solutions such as Databricks, and Snowflake as necessary
Establish, fulfill, and maintain comprehensive architectural documentation to ensure alignment with technical standards and best practices across the organization
Collaborate with the sales team during the pre-sales process by providing technical expertise to position AWS-based data solutions effectively
Participate in customer meetings to assess technical needs, scope potential solutions, and identify opportunities for growth
Create technical proposals, solution architectures, and presentations to support sales efforts and ensure alignment with customer expectations
Assist in responding to RFPs/RFIs by providing accurate technical input and aligning solutions to client requirements
Demonstrate AWS capabilities through POCs (Proof of Concepts) and technical demonstrations to help customers evaluate the proposed solutions

Senior Data Solutions Architect with AWS

Provectus, a leading AI consultancy and solutions provider specializing in Data ...

Location

Serbia , Yerevan

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data solution architecture, with at least 3 years focused on AWS
Proven experience in designing and implementing large-scale data engineering solutions on AWS
Experience with Databricks is a plus
Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS
Proficient in programming languages like Python, SQL, and Scala
Experience with data warehousing, ETL processes, and real-time data streaming
Familiarity with open-source technologies and tools commonly used in data engineering
AWS Certified Solutions Architect – Professional or similar AWS certifications are a plus
Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders

Job Responsibility

Lead complex, high-impact customer engagements focused on AWS Data Platform solutions
Define and drive technical strategies that align AWS capabilities with customer business objectives, incorporating Databricks (as a plus) solutions where appropriate
Architect and design scalable data platforms using AWS, ensuring optimal performance, reliability, security, and cost efficiency
Evaluate and select appropriate technologies and tools to meet customer needs, integrating AWS services with other solutions such as Databricks, and Snowflake as necessary
Establish, fulfill, and maintain comprehensive architectural documentation to ensure alignment with technical standards and best practices across the organization
Collaborate with the sales team during the pre-sales process by providing technical expertise to position AWS-based data solutions effectively
Participate in customer meetings to assess technical needs, scope potential solutions, and identify opportunities for growth
Create technical proposals, solution architectures, and presentations to support sales efforts and ensure alignment with customer expectations
Assist in responding to RFPs/RFIs by providing accurate technical input and aligning solutions to client requirements
Demonstrate AWS capabilities through POCs (Proof of Concepts) and technical demonstrations to help customers evaluate the proposed solutions

Senior Data Solutions Architect with AWS

Provectus, a leading AI consultancy and solutions provider specializing in Data ...

Location

Serbia , Belgrade, Novi Sad

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data solution architecture, with at least 3 years focused on AWS
Proven experience in designing and implementing large-scale data engineering solutions on AWS
Experience with Databricks is a plus
Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS
Proficient in programming languages like Python, SQL, and Scala
Experience with data warehousing, ETL processes, and real-time data streaming
Familiarity with open-source technologies and tools commonly used in data engineering
AWS Certified Solutions Architect – Professional or similar AWS certifications are a plus
Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders

Job Responsibility

Lead complex, high-impact customer engagements focused on AWS Data Platform solutions
Define and drive technical strategies that align AWS capabilities with customer business objectives, incorporating Databricks (as a plus) solutions where appropriate
Architect and design scalable data platforms using AWS, ensuring optimal performance, reliability, security, and cost efficiency
Evaluate and select appropriate technologies and tools to meet customer needs, integrating AWS services with other solutions such as Databricks, and Snowflake as necessary
Establish, fulfill, and maintain comprehensive architectural documentation to ensure alignment with technical standards and best practices across the organization
Collaborate with the sales team during the pre-sales process by providing technical expertise to position AWS-based data solutions effectively
Participate in customer meetings to assess technical needs, scope potential solutions, and identify opportunities for growth
Create technical proposals, solution architectures, and presentations to support sales efforts and ensure alignment with customer expectations
Assist in responding to RFPs/RFIs by providing accurate technical input and aligning solutions to client requirements
Demonstrate AWS capabilities through POCs (Proof of Concepts) and technical demonstrations to help customers evaluate the proposed solutions

Senior Solutions Architect & Customer Advisor – Hybrid Cloud, Data and AI

We are seeking an exceptional Senior Solutions Architect & Customer Advisor to s...

Location

United Kingdom , Greater London

Salary:

Not provided

Rackspace

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering or related field
MBA or relevant graduate degree preferred
15+ years of hands-on experience in cloud architecture, enterprise infrastructure or solutions architecture
Proven track record designing and implementing large-scale cloud solutions for enterprise clients
Deep expertise in Hybrid Cloud and Data Center architecture with focus on at least two major platforms (AWS, Azure, GCP) and experience with private cloud platforms (VMware, OpenStack)
Strong technical foundation in infrastructure, networking, security, and cloud-native development
Demonstrated ability to architect solutions from requirements through implementation
Experience working with Banking & Financial Services or Healthcare clients on cloud initiatives
Information security, risk management, and regulatory expertise
Understanding of industry-specific operational models and applications

Job Responsibility

Technical Discovery & Solution Design: Lead technical discovery engagements to assess current cloud maturity, identify hybrid cloud opportunities, and understand infrastructure and application modernization requirements
Conduct comprehensive assessments of customer technology environments to identify gaps, risks, and transformation opportunities
Translate customer business challenges into technical requirements and cloud architecture specifications
Design end-to-end cloud solutions across private cloud, hybrid cloud, and data center ecosystems, including network and cybersecurity
Develop technical roadmaps that align cloud strategy with business objectives
Create proofs-of-concept, reference architectures, and migration strategies
Cloud Architecture & Technical Leadership: Architect and optimize hybrid cloud solutions across AWS, Azure, and/or GCP platforms, ensuring resilience, scalability, and operational excellence
Design cloud-native architectures leveraging infrastructure-as-code (Terraform, CloudFormation), automation, and DevOps practices
Provide technical leadership on data center modernization, VMware environments, and private cloud platforms
Advise on AI/ML integration, intelligent automation, and emerging cloud technologies

Fulltime

Head of Engineering

Lead the Technical Transformation Towards an AI-Driven SaaS Future We are undert...

Location

Sweden , Stockholm; Malmö

Salary:

Not provided

DanAds

Expiration Date

Until further notice

Requirements

Extensive experience in a senior engineering leadership role, such as Head of Engineering, CTO, or Principal Architect, within a SaaS or technology-driven environment
Proven ability to design and operate large-scale distributed systems with a focus on scalability, performance, and reliability
Advanced proficiency in cloud-native engineering, containerization, and DevOps practices
Experience integrating AI/ML technologies into production environments and maintaining robust MLOps workflows
Strong knowledge of data engineering and architectural design for AI-readiness
Exceptional technical judgment and the ability to balance innovation with stability and quality
Demonstrated ability to translate business and product requirements into effective, maintainable technical solutions

Job Responsibility

Provide strategic and operational leadership to the Engineering organization, ensuring the successful delivery of an AI-first, cloud-native SaaS platform
Design and evolve a highly scalable multi-tenant SaaS architecture capable of supporting millions of transactions efficiently
Oversee the development and maintenance of a cloud-native infrastructure, leveraging containerization (Docker, Kubernetes) and CI/CD automation
Collaborate with data science and ML teams to integrate AI and machine learning models into production systems
Develop and manage MLOps pipelines and data infrastructure, including data pipelines, data lakes, and data warehouses

What we offer

Competitive salary
Wellness grant and occupational pension
A fun and entrepreneurial environment
Career growth opportunities
Industry leading clients such as Paramount Advertising, Yahoo, Nine Group, Roku and many more

Senior AI Security Engineer

Senior AI Security Engineer role in Citi's Application, Platform and Engineering...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Production system builder with security focus - proven track record of architecting and building secure, large-scale production applications and business-facing platforms from the ground up
Ethical hacking and penetration testing expertise - hands-on experience finding and exploiting vulnerabilities, conducting red team exercises
State-of-the-art security engineering with Go, Python, JavaScript
HashiCorp Vault mastery - deep experience writing custom plugins, creating secrets engines, implementing dynamic credentials
Enterprise authentication & authorization - designing and implementing OAuth, JWT, RBAC, and complex identity systems
API security and threat modelling - securing REST/GraphQL APIs, conducting threat assessments
AI/ML security and vulnerability research - understanding of LLM vulnerabilities, model security, prompt injection attacks
Security automation and tooling – automating manual security processes
Cloud-native security - securing containerized applications in Kubernetes, service mesh security
Incident response and forensics - experience investigating, analyzing, and responding to security incidents

Job Responsibility

Build secure AI products from 0-1 - Engineer production-grade, business-facing AI platforms with security built-in from day one
Conduct ethical hacking and red team activities - penetration testing, vulnerability research, and attack simulation
Design and build security tools and frameworks - Create automated security solutions that scale across fast-paced development cycles
Secure novel AI attack surfaces - Identify and mitigate LLM-specific vulnerabilities, prompt injection attacks, and AI model security risks
Lead 'shift left' security - Embed security practices throughout rapid development lifecycle while maintaining velocity
Mentor security practices - Guide other engineers on secure coding, vulnerability remediation, and security-first thinking

What we offer

27 days annual leave (plus bank holidays)
Discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Hybrid working model (up to 2 days working at home per week)
Competitive base salary (annually reviewed)

Fulltime

Senior Cloud Solutions Architect (AI/ML Focus)

Dutech Systems

Location:
United States , Austin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 11, 2026

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