Source description
About the role
Job Description
Service Line
GDS-Enablement Services
Sub-service Line
Digital Products and Services
Location
Buenos Aires
No. of positions
1
Title
Technical Architect
Rank
Assistant Director
Grade
1/2/3
Type of Employment
Permanent
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
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
More at EY