Symphony

Software Architect in AI Modernization Platform

AWSAzure

Iskustvo
Senior
Angažman
Puno radno vrijeme
Rok prijave
još 28 dana

O kompaniji

Symphony is a global design and development software company headquartered in San Francisco with 650+ technologists located across engineering offices in Southeast Europe and Latin America, along with business development offices in the US and Western Europe, and a Remote hub engaging employees from Latin America to Africa and Asia. In the last 16 years, we have launched over 200 products for the world’s leading startups, enterprises, and Fortune 500 companies.

Our team has a proven track record in helping clients increase revenue, reduce time-to-market, improve end-user experiences, and achieve scalability. We have domain expertise spanning financial services, banking, retail, technology, healthcare, as well as the VC and PE ecosystem, among others.

Opis posla

What We're Looking For

We're seeking an experienced AI Modernization Architect to design frameworks that enable AI-powered legacy system transformations.
If you excel at identifying patterns in complex systems and enjoy designing intelligent frameworks rather than implementing individual migrations, this role offers a chance to shape how AI transforms enterprise modernization.

Role Overview

As our AI Modernization Architect, you'll design the intelligence frameworks that power our transformation platform. Rather than implementing specific migrations, you'll create systems that can identify patterns across diverse legacy technologies and develop the orchestration components that sequence modernization steps (analysis → extraction → implementation → verification).

Our current solution uses AI to categorize stored procedures based on their structure, identify SQL patterns, and map these to equivalent modern implementations. You'll expand this approach to other legacy technologies, designing frameworks that enable AI to understand the intent behind various legacy systems and generate appropriate modern equivalents. Your work will establish the blueprint for how our AI-powered modernization applies across the enterprise technology landscape.

Key Responsibilities

  • Design architectural frameworks that enable AI-powered transformation across diverse legacy technologies, building on our successful database modernization approach
  • Create meta-level abstraction models that automatically identify patterns in legacy systems regardless of the specific technology
  • Develop orchestration systems that sequence the generalized modernization process: legacy analysis → business rule extraction → modern implementation → parity verification
  • Establish verification frameworks that ensure 100% functional equivalence between legacy and modernized systems
  • Determine the optimal blend of generative AI capabilities with traditional analysis and automation techniques
  • Design systems that can adapt our modernization approaches to different client environments and technology stacks
  • Collaborate with our global team and partner with groups developing complementary agentic solutions to create an integrated modernization ecosystem

Kvalifikacije

Ideal Candidate Profile

  • You think naturally at the system design level rather than just implementation
  • You're energized by creating frameworks and patterns that others can apply
  • You see the potential of AI as a human-guided modernization accelerator, not just a tool
  • You excel at identifying meta-patterns across diverse technical challenges
  • You're experienced in remote collaboration with multidisciplinary, global teams
  • You enjoy the cross-pollination of ideas across different technical domains

Qualifications

  • 7+ years of experience in enterprise software architecture and modernization
  • Strong background in enterprise architectures
  • Background working with Gen AI technologies in practical applications (preferred)
  • Experience with AWS or Azure cloud environments
  • Track record of designing systems and frameworks that enable others to implement effectively
  • Experience collaborating across global, remote teams (preferred)

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