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What success looks like in this role:
We are searching for an accomplished AI/ML Architect to spearhead the transformation of Unisys large-scale enterprise platforms across diverse industries, migrating from legacy implementations to cutting-edge architectures and technology stacks integrated with Artificial Intelligence capabilities. The role involves driving innovation by crafting new solutions and modernizing existing applications, offering strategic guidance on technology selection, design, implementation approaches, and Unisys Solution offerings. The ideal candidate will be instrumental in developing and implementing AI capabilities within enterprise-grade platforms.
Responsibilities:
- Strategic Architectural Leadership:
- Lead the strategy and architecture transformation of legacy enterprise-scale platforms, incorporating modern technology stacks with AI capabilities.
- Drive innovation by conceptualizing and implementing AI functionalities within enterprise platforms.
- Client Advisory and Engagement:
- Collaborate closely with clients' senior management, providing architectural guidance and technical expertise on complex business and systems issues.
- Strategic planning and business case development within the assigned Unisys portfolio areas and infrastructure disciplines such as application / storage platforms, databases, networks, security, and IT processes / operations / governance.
- Continuously review the technology landscape, advising clients on emerging technology solutions to enhance our services' value proposition.
- Integrates complex solutions into new or existing client environments.
- Solution Integration and Oversight:
- Integrate complex solutions into new or existing client environments, ensuring solution integrity and engineering attributes.
- Provide technical oversight and guidance on estimating, work breakdown structures, and industry-standard estimation techniques.
- Agile and Modernization:
- Design and architect transformational journeys for clients, emphasizing microservices, PaaS, serverless architectures, and DevSecOps integration.
- Develop backlogs for continuous modernization of large-scale applications, coordinating with project managers and other stakeholders.
- Leadership and Best Practices:
- Champion the use of AI/ML and Advanced Data Analytics best practices, provide workshops, trainings, and coaching to teams to modernizing applications.
- Mentor and lead other architects, engineers, ensuring high-quality architectural solutions.
- Set up documentation practices for AI projects, including code, methodologies, and results.
- Share best practices for design, development, and emerging technology solutions.
- Governance and Ethics:
- Establish Ethical Framework and guidelines for ethical AI use within the organization.
- Compliance and Regulations: Ensure adherence to legal and regulatory frameworks related to AI.
You will be successful in this role if you have:
- AI/ML and Data Expertise:
- Advanced experience in designing and implementing machine learning algorithms (Supervised, Unsupervised, and Reinforcement Algorithms).
- Advanced experience in LLM, Natural Language Processing (NLP), Deep Learning, Data Analytics, Data Modeling, and enterprise-level use cases using Generative AI such as ChatGPT.
- Technical Proficiency:
- Proficiency in programming languages like Python, R for building AI/ML capabilities, and experience in data streaming platforms such as Apache Spark.
- Advanced experience in Multi Cloud Services (AWS / Azure / GCP), enterprise-level software delivery, and modernizing applications from legacy platforms.
- Deep expertise in Data platforms – RDBMS, NOSQL, BigData and APIs – REST, SOAP.
- Infrastructure and Integration Knowledge:
- Deep expertise in modern cloud architecture patterns, cloud-based infrastructures, SDLC pipelines, and Agile methodologies.
- Extensive knowledge of cloud-based infrastructures, SDLC pipelines, and evangelism of best practices/standards.
- Development and Networking:
- Development experience in languages such as C#, Java, JavaScript, Python, Go, Rust, or others, and knowledge of event-based/message architectures like Kafka.
- Knowledge of virtual networking, network interfaces, identity/access management, and DevOps technologies.
- Qualifications:
- Bachelor’s degree in Computer Science or equivalent, having overall 15+ years of industry experience with at least 5+ years in AI/ML, Data Science, and related field. A Master’s degree is a plus.
Become part of our "Winning Culture"! An international and varied field of work with worldwide opportunities awaits you! We always strive for the optimum for our first-class customers from a wide range of industries!
Corporate Social Responsibility and DEI (Diversity, Equity, and Inclusion) standards are especially important to us and go far beyond the usual! Associate Impact Groups are formed voluntarily to further develop and support our DEI standards internally.
Our Unisys University is available to you according to your individual needs. An MBA sponsorship program is also available! Our goal is to help you realize your individual potential!
International work opportunities abroad for all employees
"Wellbeing & Employee Assistance Program": Your (mental) health is important to us and is treated confidentially by a neutral party!
Solid qualification-, performance- & competence-based remuneration model, attractive pension scheme and various allowances
Bonus/referral/incentive/recognition programs - we want you to feel appreciated at Unisys!
What do we offer?
- Pension
- Life Assurance
- Private Medical
- Option for private dental
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Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.
This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys’ EEO commitment here.
eeoNotice For U.S. Applicants: Unisys is an Equal Opportunity Employer – Minorities/Females/ Veterans/Individuals with Disabilities/ Sexual Orientation/Gender Identity
