What success looks like in this role:

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:

Skill Sets:

• 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.