6 client implementation engineer jobs at 5 companies in McDonough, GA
2w
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Implementation Manager
Atlanta, Georgia, United States
OnsiteFull Time
7+ YOE7+ years project management/implementation experience in fintech/payments or B2B SaaS; managing concurrent client implementations; coordinating engineering, compliance, and client success; strong written and verbal communication.
Q2, SoCure, Sardine
4d
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Implementation Manager
Atlanta, Georgia, United States
OnsiteFull Time
7+ YOERequires 7+ years of project management or implementation experience, concurrent client-facing project management, technical issue coordination with engineering, and strong written and verbal communication.
Q2, SoCure, Sardine, SDK, UAT, KYC
1mo
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Systems Engineer IV
Secaucus or Duluth or United States
HybridFull Time
10+ YOEBachelor's in engineering/CS, PE preferred, 10+ years experience, 5+ years implementing technical solutions, networking certifications (CCNA/CCNP), requirements engineering and client-facing technical leadership.
Cisco
2w
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Integration Engineer, Embedded Finance
Jacksonville or Alpharetta or Berkeley Heights
$78k-$138k/yr OnsiteFull Time
6+ YOERequires 6+ years building API integrations, 6+ years software engineering, 5+ years REST APIs, 4+ years SQL/cloud data, 4+ years client implementations, 3+ years financial systems, and a relevant bachelor's degree or equivalent.
REST, Postman, SQL, Snowflake, Jira, API
5d
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AI Engineering Lead- Director- Commercial Technology & Innovation
New York City or Dallas or Tampa or Atlanta or Chicago or Washington
$155k-$410k/yr OnsiteFull Time
9+ YOEBachelor's degree and at least 9 years of experience. Leads AI implementation, machine learning, data modeling, pipelines, software engineering, client engagements, and business development.
Python, Java, TensorFlow, Scikit-Learn, C++, AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake
22h
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Agentic AI / Machine Learning Architect - Senior Principal
Atlanta or Boston or Charlotte or Miami or New York City or Philadelphia or Washington
OnsiteFull Time
9+ YOERequires 9+ years implementing production AI/ML solutions, 5+ years in consulting or IT services, strong Python and cloud AI platform skills, enterprise architecture expertise, and experience leading client-facing delivery teams.
AWS, Azure, Google Cloud, Amazon Bedrock, Azure AI Foundry, Google Vertex AI, LangChain, LangGraph, LlamaIndex, Semantic Kernel, Haystack, CrewAI, Hugging Face, Python, APIs, Databricks, Snowflake, Spark, Kafka, dbt, Kubernetes, CI/CD