Urgent req: AI Lead Engineer / AI Architect (Hands-on) Irvine, CA and LA, CA Onsite Long Tetm Contract
Murali Krishna Tummala
Urgent req: AI Lead Engineer / AI Architect (Hands-on) Irvine, CA and LA, CA Onsite Long Tetm Contract
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Job Title: AI Lead Engineer / AI Architect (Hands-on)
A highly skilled hands-on AI Lead Engineer / Architect with at least 8+ years of experience in AI/ML, Data Engineering, or Software Engineering. You bring strong expertise in designing and building scalable, production-ready AI solutions, with deep hands-on experience in LLM-enabled applications, agent-based systems, and cloud-native architectures. You are comfortable working closely with business stakeholders and leading AI-driven innovation initiatives in an enterprise environment.
The Opportunity:
Design and develop scalable AI/ML pipelines and intelligent applications aligned with enterprise standards
Build agent-based AI workflows, automation systems, and retrieval-based architectures (RAG, vector search, embeddings)
Architect and implement LLM orchestration layers supporting content ideation, drafting, and editing workflows
Lead integration of AI solutions with backend systems and enterprise platforms (APIs, internal tools, data platforms)
Partner with product, marketing, and business stakeholders to translate requirements into AI-driven solutions
Provide architectural leadership, guide offshore teams, and ensure delivery aligned with scalability, security, and governance standards
What You Need:
At least 8+ years of experience in AI/ML, Data Science, or Software Engineering
Strong Python backend development experience
Hands-on experience with LLM-enabled applications and Generative AI
Experience building agent-based / agent-oriented AI systems
Strong expertise in retrieval-based systems (RAG, vector databases, embeddings, indexing)
Experience with API development and backend system integration
AWS cloud-native development experience
Experience with CI/CD pipelines and environment management
Strong understanding of observability (logging, monitoring, tracing)
Experience deploying ML models in production environments
Exposure to enterprise AI workflows, automation, and governance models.
Mandatory Areas
* AI/ML Solution Architecture
* LLM & Generative AI Development
* Agent-Based Systems
* Retrieval-Augmented Systems (RAG)
* Enterprise AI Integration
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Must Have Skills
* Skill 1 – Python & Backend Development
* Skill 2 – LLM / Generative AI Application Development
* Skill 3 – Agent-Based AI Systems
* Skill 4 – RAG / Vector DB / Embeddings
* Skill 5 – API Development & System Integration
* Skill 6 – AWS Cloud (Cloud-Native Development)
* Skill 7 – CI/CD & DevOps Practices
* Skill 8 – Observability (Logging, Monitoring, Tracing)
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Domain Experience (If any)
* AI-enabled enterprise workflows
* Marketing / Content generation platforms (nice to have)
* Financial / Investment domain (preferred based on content use cases)
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Must Have Certifications
* Not mandatory (AWS / ML / AI certifications are good to have)
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Location * Irvine, CA and LA, CA
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Onsite Requirement * Yes
Number of days onsite
* 2-3 days / week in the client’s Irvine office, 1 day in their downtown LA office, 1 day remote…
The Opportunity
* Rebuild analytics pipelines and integrate new data models into the data infrastructure
* Refactor existing workflows from LASR/MSS to Databricks and PySpark
* Develop familiarity with the ICAM data model and support data integration efforts
* Assess and identify gaps between existing datasets and new data structures from STEP and ICAM
* Support exploratory analytics use cases including analyzing consultant organization behavior and understanding Field Consultant preferences
* Explore opportunities to leverage tools like Claude for ad hoc data access based on progress of core data integration work
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What You Need
* Strong data engineering expertise
* Experience with Databricks and PySpark
* Experience in refactoring workflows from LASR/MSS to modern platforms
* Strong data analysis skills to identify gaps between datasets and new data structures
* Familiarity with ICAM data model
* Experience working with complex data environments
* Prior experience within the financial industry is helpful
* Power BI experience is a nice-to-have
Mandatory Areas
Must Have Skills
* Skill 1 – Strong Data Engineering expertise
* Skill 2 – Databricks
* Skill 3 – PySpark
* Skill 4 – Data pipeline development and rebuilding
* Skill 5 – Integration of new data models
* Skill 6 – Refactoring workflows from LASR/MSS
* Skill 7 – Strong Data Analysis (gap analysis between datasets and new structures)
* Skill 8 – Familiarity with ICAM data model
Domain Experience (If any)
Financial / Institutional business experience preferred
Location: Downtown LA, CA
Onsite Requirement: Yes
Number of days onsite: 4 days