Senior Technology Architect

Infosys•Richardson, TX

About The Position

In the assigned role of Architecture Consultant 3, the Senior Technology Architect will design and review solution architectures that align with business goals and proposed frameworks, ensuring application designs are scalable, reliable, and maintainable. The role includes gathering information from client workshops and interviews to create functional and non-functional business requirements, recommending technologies and platforms, and developing strategies for integration across systems. The architect provides hands-on delivery leadership for production-grade AI systems, resolves technical challenges throughout build, deployment, and support, and helps development teams execute projects successfully. The position also identifies system risks and optimization opportunities, maintains a comprehensive knowledge base, and contributes architectural insights to proposals and RFPs. It calls for a strategic approach to aligning technical solutions with business goals and market trends, productive relationships with clients and internal teams, and a commitment to mentoring and knowledge sharing. The role is part of Infosys Data and Analytics (DNA), which develops data, AI, and analytics solutions to address business challenges. The position may require relocation and/or travel to a work or project location. Infosys is unable to provide immigration sponsorship now or in the future; applicants must be authorized to work in the United States without employer-based visa sponsorship.

Requirements

  • Strong experience in solution architecture and hands-on delivery leadership for production-grade AI systems.
  • Proven pre-sales experience with proposals, RFPs, estimations, solution workshops, and stakeholder presentations.
  • A bachelor’s degree or foreign equivalent from an accredited institution, or three years of progressive experience in the specialty in lieu of each year of education.
  • Authorization to work in the United States for any employer without employer-based visa sponsorship; Infosys cannot provide immigration sponsorship now or in the future.
  • Willingness to relocate and/or travel to the work or project location if required.

Nice To Haves

  • Expertise in LLMs and enterprise generative AI patterns, RAG pipelines, vector search, reranking, evaluation frameworks, and agent frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI (or equivalent).
  • Strong understanding of data engineering patterns for AI, including ingestion, governance, lineage, metadata, and PII controls.

Responsibilities

  • Create business requirement documents covering functional and non-functional requirements, based on information gathered through workshops and interviews with client stakeholders.
  • Review, propose, and develop solution architectures that align application designs with proposed frameworks and are scalable, reliable, and maintainable.
  • Assess and recommend technologies, tools, and platforms for implementation to meet business requirements.
  • Review technical solutions and develop integration strategies for different technologies and systems to ensure seamless communication and data flow.
  • Resolve complex technical challenges during build, deployment, and support, while promoting reusable frameworks and artifacts.
  • Provide specialized insights to development teams and build collaborative relationships with clients and internal teams to support successful project execution.
  • Identify potential risks in the system landscape, monitor system performance, and suggest optimization initiatives aligned with business requirements and long-term objectives.
  • Establish and maintain a comprehensive knowledge base so vital information is systematically recorded and readily available.
  • Contribute architectural insights to proposals and RFPs to support successful delivery of proposed solutions.
  • Provide hands-on delivery leadership for production-grade AI systems.
  • Participate in pre-sales activities, including proposals, RFPs, estimations, solution workshops, and stakeholder presentations.
  • Mentor others and foster a knowledge-sharing culture.
  • Proactively drive initiatives that support smooth project execution and transition.

Benefits

  • Medical, dental, vision, and life insurance.
  • Long-term and short-term disability coverage.
  • Health and dependent care reimbursement accounts.
  • Accident, critical illness, hospital indemnity, and legal insurance.
  • 401(k) plan and contributions dependent on salary level.
  • Paid holidays and paid time off.
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