Senior Technology Architect

Infosys•Atlanta, GA

1d•Onsite

About The Position

We are seeking an experienced Senior Technology Architect to lead enterprise architecture, solution design, and large-scale technology transformation initiatives. This role will be responsible for defining technology strategy, architecting scalable solutions, and driving innovation across AI, data, cloud, and enterprise application platforms. The ideal candidate will partner with business stakeholders, engineering teams, and clients to design and deliver modern technology solutions that support business growth, operational efficiency, and digital transformation objectives. This position requires strong technical leadership, hands-on architecture experience, and the ability to translate complex business challenges into scalable technology solutions.

Requirements

Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, MCA, or a related discipline.
12–18 years of experience as related to the job description

Nice To Haves

Proven experience leading large-scale software implementation and digital transformation programs.
Hands-on expertise in: Java, J2EE Spring Boot Spring MVC REST APIs SOAP Web Services Hibernate
Experience designing and implementing Microservices-based architectures.
Strong knowledge of: Kafka/Event-Driven Architecture API Management Oracle Database MongoDB ETL Technologies Node.js
Hands-on experience implementing AI/ML solutions in enterprise environments.
Strong understanding of Software Development Lifecycle (SDLC) methodologies and best practices.
Experience in Life Insurance and/or Annuities domain operations and technology platforms.
Expertise with cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
Experience with Big Data, Data Engineering, and Enterprise Analytics solutions.
Proficiency in: Python SQL R TensorFlow PyTorch Scikit-Learn
Experience working with: Angular Drools JBPM Enterprise Workflow Solutions
Knowledge of Business Process Management (BPM) platforms and methodologies.
Experience implementing Generative AI, NLP, Intelligent Automation, or Computer Vision solutions.
Technical certifications in Cloud, AI/ML, Architecture, or related technologies.
Experience supporting underwriting, policy administration, claims, risk management, or other insurance operations.
Experience working with global delivery models, including onsite, offshore, and nearshore teams.
Demonstrated success driving architecture governance and enterprise technology strategy.
Strong analytical, problem-solving, and stakeholder management skills.
Strong written and verbal communication skills.
Ability to lead cross-functional and geographically distributed teams.
Strong consulting and client-facing experience.
Proven mentoring, coaching, and people leadership capabilities.
High learning agility and ability to adapt to emerging technologies and changing business needs.

Responsibilities

Define and evolve enterprise architecture frameworks and technology roadmaps.
Align technology strategy with business objectives and industry best practices.
Lead the evaluation and selection of technology platforms, tools, and frameworks.
Design scalable, secure, resilient, and high-performing enterprise architectures.
Establish architecture standards, governance processes, and best practices.
Lead end-to-end solution architecture and implementation initiatives.
Drive all phases of the Software Development Life Cycle (SDLC), including requirements analysis, design, development, testing, deployment, and support.
Create high-level and detailed architecture designs for complex enterprise applications.
Provide technical leadership and mentorship to development and architecture teams.
Ensure quality, scalability, performance, and security of delivered solutions.
Collaborate with cross-functional teams to deliver innovative technology solutions.
Design and implement AI/ML-enabled solutions and intelligent automation capabilities.
Architect scalable data platforms supporting real-time and batch data processing.
Enable predictive and prescriptive analytics capabilities for business decision-making.
Promote data governance, quality, and regulatory compliance.
Drive adoption of emerging technologies including Generative AI, Natural Language Processing (NLP), and advanced analytics.
Engage with clients and business stakeholders to understand business requirements and define solution strategies.
Participate in pre-sales activities, solution proposals, proof of concepts, and client presentations.
Provide subject matter expertise and technology consulting throughout project lifecycles.
Translate business requirements into scalable technology solutions.
Mentor architects, developers, analysts, and engineering teams.
Drive adoption of reusable frameworks, assets, and architectural best practices.
Conduct architecture reviews and ensure compliance with organizational standards.
Identify technical risks and develop mitigation strategies.
Support project estimation, planning, and delivery governance activities.
Stay current on emerging technologies and industry trends.
Develop technology assets, accelerators, white papers, and reusable frameworks.
Contribute to capability development and competency-building initiatives.
Promote innovation through automation, AI, and modern architectural practices.