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Job Description

Service Line GDS-Enablement Services Sub-service Line Digital Products and Services

Title Technical Architect Rank Assistant Director

Overall Years of Experience 12+Years Relevant Years of Experience 6+

Requisition Date Resource On-board Date

Solution Architect

As the Lead Solution Architect for the Innovation Team, you will drive the evaluation, prototyping, and adoption of emerging technologies for our customers across diverse industry sectors. You will act as a technology generalist, leveraging your broad expertise across full stack development, AI/ML, MEAN stack, databases, cloud platforms, and more, to guide customers in identifying, assessing, and implementing innovative solutions that deliver business value.

Position Summary

• 5+yrs of experience in a similar profile with strong service delivery background
• Lead and guide a team of Developers.
• Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same.
• Exposure to Generative AI, AI Agents design and development using opensource frameworks and Azure AI Services.
• Contribute to products or tools built on Artificial Intelligence technologies and paradigms, that can enable high-value offerings.
• Building AI solutions would involve the use and creation of AI and ML techniques including but not limited to deep learning, computer vision, natural language processing, search, information retrieval, information extraction, probabilistic graphical models and machine learning.
• Hands on experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC, Angular/React/Node Js
• Analyses tools and solutions to identify issues, errors or problems, and determine suitable debugging tools and techniques
• Applies basic debugging tools and techniques to reproduce, simplify and resolve solution errors or problems
• Proven track record in evaluating, designing, and implementing solutions using emerging technologies.
• Strong understanding of architectural patterns, integration approaches, and technology adoption frameworks.
• Experience with cloud-native architectures, containerization (Docker/Kubernetes), and DevOps practices.
• Ability to quickly learn and apply new technologies in unfamiliar domains.
• Excellent communication, stakeholder management, and presentation skills.
• Experience leading technical teams and driving cross-functional collaboration.
• Exposure to industry-specific challenges and technology use cases is a plus.
• Identifies internal and external factors which may impact requirements
• Utilizes specific organizational methods, tools and techniques for requirements analysis and mapping, e.g., automated diagramming tools to ensure traceability of requirements
• Analyses relevant information from stakeholders and participates in the preparation of preliminary mapping of business requirements to existing processes to identify gaps and/or opportunities
• participates in identifying the costs, benefits and process impact of updating, upgrading or adding new components; documents and measures direct and indirect costs and projected benefits
• Follows organizational guidelines and procedures for conducting a cost-benefit analysis
• Resolves common errors or omissions in developing the analysis
• Demonstrates intermediate knowledge of tools used in the design and build of data architecture design and modelling solutions
• Participates in designing blueprints on how to structure, store and utilize data
• Follows standards, processes and methodologies to develop each phase of data architecture (e.g., data manipulating processes, database technology generating processes)
• Applies principles, methods, processes and standards to support the realization of atypical data architecture design and modelling requirements, with supervision
• Plans processes for effective data storage, sharing and utilization within the organization
• Updates policies, standards and procedures on data management for compliance with relevant legislation
• Identifies gaps, inefficiencies, and potential risks in existing data management processes
• Proposes enhancements or modifications to data handling procedures
• Establishes processes to monitor compliance of information or data handling and access requests with approved procedures
• Creates the processes and systems required to capture, retain and utilize critical data
• Recommends improvements to existing systems
• Solves moderately complex problems
• Participates in the selection of appropriate design methodologies and tools in line with the organization's practices and design principles
• Creates a solution / system / software design blueprint based on a broad design concept, and business and user requirements
• Creates demos and proofs of concept
• Participates in the integration of emerging technologies / specific features and functions of emerging technologies
• Identifies processes that will be improved by the application of new and emerging technologies and approaches
• Supports the identification and selection of compatible emerging technologies and assessment of their feasibility to the organization's operations and processes
• Assists in comparing business performance before and after the implementation of emerging technologies
• Analyses information, derives insights on the performance of governance and IT standards; assists senior colleagues in identifying critical issues in IT design processes and policies
• Supports platform feature development and implementation according to established design, architectural standards and practices
• Identifies key security risks and problems posed by new technologies and business practices
• Provides support in defining security specifications of components and integrating appropriate security controls to minimize security breaches or lapses
• Checks for an adequate level of security robustness in system designs
• Helps with the development of a solution architecture for a specific business problem or environment
• Reviews the major components, functions and features of the solution architecture toolkit
• Describes the flow of information through the phases of the architecture development methodology
• Uses enterprise architecture to obtain and use information relevant to this solution
• Develops an architectural proof of concept
• Develops a solution architecture utilizing appropriate tools, techniques and models of system components and interfaces
• Implements regular system reviews to monitor solution status and make modifications, according to an architecture management framework
• Utilizes tools to assess organization, financial and technical data
• Drafts a feasibility analysis report on a project or product for review

Roles and Responsibilities

Essential

• Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production.
• Solid understanding and experience of deep learning architectures and algorithms
• Experience solving problems in industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders etc.
• Knowledge of open source libraries such as Keras, Tensor Flow, Pytorch
• Work with business analysts/consultants and other necessary teams to create a strong solution
• Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc. Skills in Java/C are a plus
• Hands on experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC, Angular/React/Node Js
• Should have expertise in creating solution design documentation
• Should be able to train and build a team of technical developers
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to work with a multi culture global teams and team virtually
• Should be able to build strong relationship with project stakeholders
• Should be able to build strong relationship with project stakeholders

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