Referso Jobs

Software Engineer

Security Benefit Business Services / Everly Life · Posted Nov 10, 2026

Open

Remote
Remote
Full-time
2–4 years

Software Engineer

Security Benefit Business Services / Everly Life · Posted Nov 10, 2026

Open

Remote
Remote
Full-time
2–4 years

Principal Agentic AI Solution Designer

Capgemini · Posted Nov 5, 2026

Open

Kraków, Lesserłopskie, Poland
Hybrid
Full-time · Principal
yearly financial bonus

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Design multi-agent systems that run real business processes and remain governable in production. Own the target architecture for the organization’s agentic ecosystem and ensure reliability, cost, and business outcomes.

Responsibilities

Set the architectural direction for agentic solutions across the enterprise, including approved multi-agent patterns, operating models, and standards
Define how agent components work together across shared data, memory, feedback, observability, identity, and control mechanisms
Partner with business owners to identify and prioritize agent use cases, assess value and risk, and shape the business case
Apply data-driven design and machine learning techniques so agents can improve from outcomes and feedback
Embed evaluation, testing, Responsible AI, security, and governance controls into the architecture from the start

Requirements

Nice to have: Reusable agentic blueprints
Nice to have: Reference architectures
Nice to have: Shared agent platform
Nice to have: AI red-teaming
Nice to have: Guardrails

Skills

Solution Architecture Enterprise Architecture Artificial Intelligence

Senior Software Architect - Platform

Fiserv · Posted Nov 4, 2026

Open

Alpharetta, Georgia, United States
On-site
Full-time · Senior
$145K–$240K per year
10+ years

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Senior Software Architect - Platform

Compensation

$145,000.00 - $240,000.00 These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.

Responsibilities

Own the architecture, design, coding, testing, and production implementation of shared data and software platform capabilities
Create an engineering framework and automation that converts data science proofs of concept into modular, testable, version-controlled, deployable software
Re-engineer proof-of-concept workloads for enterprise scale
Build reference implementations and production code using technologies such as Java, Python, Spark, Spring Boot, APIs, microservices, containers, Kubernetes, and cloud-native data services
Architect reusable, secure platform services for data ingestion, feature engineering, model execution, workflow orchestration, metadata, policy enforcement, and monitoring

Requirements

Bachelor's degree in computer science, engineering, or a related field
Nice to have: Domain-driven design
Nice to have: Test-driven development
Nice to have: Infrastructure as code
Nice to have: SRE practices

Skills

Java Python

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