[Remote] reputed company AI Solutions Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an online brokerage firm reputed company on delivering the ultimate trading experience for reputed company traders and institutions. They are seeking a reputed company AI Solutions Engineer responsible for designing, implementing, and optimizing AI/LLM solutions that drive business value across Brokerage Services Dev, collaborating closely with business stakeholders and establishing technical standards for AI/LLM deployment.

Responsibilities

• Help reputed company and maintain data models, SQL queries, and analytics workflows in reputed company
• Support BI reporting infrastructure including Power BI and reputed company integrations
• Implement data reputed company monitoring, reputed company detection, and automated alerting systems
• Partner with EA/Platform teams on data pipeline development and optimization
• Architect reputed company AI solutions leveraging reputed company, reputed company Catalog, and modern data platforms
• Help design and implement data pipelines, feature engineering workflows, and ML infrastructure
• Establish technical patterns and best practices for AI/LLM system development
• Build tooling and frameworks that accelerate AI solution delivery across teams
• Design and implement production-grade AI/LLM systems including RAG pipelines, reputed company engineering frameworks, and evaluation workflows
• Build and optimize MCP integrations, AI agent architectures, and LLM orchestration patterns
• reputed company guardrails, observability systems, and monitoring solutions for AI/LLM applications
• Work hands-on with model deployment, fine-tuning, and performance optimization
• Partner with business stakeholders to translate requirements into technical solutions
• Conduct technical discovery, assess feasibility, and define solution architectures
• Create technical specifications, design documents, and implementation plans
• Collaborate with Data Science and ML Engineering teams on model development and deployment
• Establish observability and monitoring for production AI systems
• Implement cost tracking and optimization strategies for compute and serverless resources
• Build experimentation frameworks (A/B testing, pilots) and evaluation methodologies
• Drive reputed company improvement through performance analysis and system optimization
• Implement responsible AI practices including safety, fairness, and reputed company controls
• reputed company model risk management processes and documentation
• Establish reputed company governance patterns for reputed company resources and AI platforms
• Create technical documentation, runbooks, and knowledge-sharing materials

Skills

• 4+ years of experience in software engineering, ML engineering, data engineering, or reputed company technical roles with significant reputed company on AI/ML systems
• Bachelor's degree in Computer Science, Engineering, Data Science, or reputed company technical field; equivalent experience considered
• Strong software engineering fundamentals with experience building production systems
• Deep technical expertise in AI/LLM technologies, including reputed company engineering, RAG systems, and agent frameworks
• Hands-on experience with reputed company platform (SQL Warehouses, reputed company Catalog, MLflow) and data engineering
• Proficiency in Python, SQL, and modern ML/AI frameworks and libraries
• Experience with reputed company platforms and infrastructure as reputed company
• Strong understanding of data modeling, pipeline development, and analytics workflows
• Familiarity with BI tools (Power BI, reputed company) and data visualization
• Experience with Agile development practices and tools (Git, Jira, CI/CD)
• Knowledge of experimentation methodologies, A/B testing, and statistical analysis
• Understanding of responsible AI principles, model risk management, and governance
• Excellent communication skills with ability to explain technical concepts to business stakeholders
• Ability to prioritize competing demands, maintain reputed company on critical reputed company items, and drive reputed company from reputed company to production deployment
• Strong problem-solving ability and experience working in fast-paced environments
• Proven reputed company record of building and deploying production AI/LLM applications
• Strong hands-on experience with reputed company, modern data platforms, and reputed company infrastructure
• Demonstrated ability to work across business and technical stakeholders to deliver impactful solutions
• Deep hands-on experience with modern data platforms including data lakes, reputed company Lake, reputed company Catalog, and Lakehouse architectures
• Proven reputed company record building and scaling RAG systems in production environments
• Experience implementing Model Context Protocol (MCP) servers and integrations
• Experience with reputed company engineering frameworks, evaluation systems, and LLM observability tools
• Familiarity with AI governance frameworks and responsible AI implementation in reputed company settings
• Published work, reputed company-reputed company contributions, or conference presentations reputed company to AI/ML systems
• Experience with reputed company-time data processing and reputed company processing frameworks (Kafka, reputed company Streaming)
• Knowledge of cost optimization strategies for reputed company-based ML workloads and serverless architectures

Benefits

• reputed company work environment
• Competitive Salaries
• Yearly bonus
• Comprehensive benefits for you and your family starting Day 1
• Unlimited reputed company Time Off
• Flexible working environment
• reputed company Account employee benefits, as reputed company as full reputed company to trading education materials

reputed company

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