HSAD North America
This range is provided by HSAD North America. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $135,000.00/yr - $165,000.00/yr
Direct message the job poster from HSAD North America
Position Overview We are seeking a hands‑on Lead AI/ML Engineer with strong software engineering expertise to rapidly build and deploy AI solutions. This role focuses on practical implementation and quick delivery of business value through intelligent integration of AWS ML services, LLMs, and modern AI tools. This hybrid position requires 75% hands‑on development and 25% technical leadership, emphasizing speed to market and pragmatic engineering decisions.
Key Responsibilities
Rapidly prototype and deploy AI solutions using pre-built AWS ML services and LLM APIs
Build full‑stack applications that integrate existing ML/LLM tools and services
Focus on "time to value" – quick iterations, hypothesis testing, A/B experiments
Orchestrate multiple AI services (Bedrock, SageMaker endpoints, third‑party APIs)
Develop proof‑of‑concepts in days/weeks using available tools and platforms
Lead technical team through hands‑on coding and architecture decisions
Champion pragmatic "buy and integrate" approaches for faster delivery
Required Technical Skills
Python : FastAPI, Django, Flask (expert proficiency)
Java : Spring Boot, Spring Cloud, Spring Security
Full‑stack development with focus on rapid prototyping
RAG Systems : Rapid deployment using managed vector DB solutions
Model Deployment : Using pre‑trained models and managed endpoints
Service Orchestration: Combining multiple AI services for business solutions
Experimentation: A/B testing frameworks for AI features
Rapid Delivery: MVP first, iterative improvement approach
Pragmatic Architecture: Leveraging managed services and existing platforms
Hypothesis‑Driven Development: Build, measure, learn cycles
Integration Excellence: Connecting best‑in‑class tools and services
API‑First Design: Microservices, event‑driven architectures
API Integration: REST, GraphQL, webhooks, streaming
Serverless Architecture: Lambda, API Gateway, Step Functions
AWS Platform (Production Focus)
Bedrock, SageMaker (inference and endpoints)
Lambda, Step Functions for workflow orchestration
Infrastructure as Code (CDK, Terraform)
Experience Requirements
10+ years
software engineering with recent hands‑on coding
Track record of rapid delivery
– launched multiple AI features in production
eCommerce AI projects : practical implementations with measurable impact
Experience balancing speed with quality for optimal business outcomes
Technical leadership through hands‑on contribution
What You'll Work On
AI solution prototypes with 1‑2 week turnaround
Integration projects connecting LLMs to existing systems
Production ML features using AWS managed services
Revenue‑generating experiments through A/B testing
Scalable AI architectures that grow with business needs
Cross‑functional collaboration to identify and solve business problems with AI
Ideal Candidate Profile A pragmatic engineer who excels at quickly translating business requirements into working AI solutions. Someone who understands that the best solution is often the one that ships fastest and delivers immediate value. You thrive in environments where rapid experimentation and iteration are valued over lengthy development cycles. Your strength lies in knowing when to use existing tools versus building custom solutions, always optimizing for business impact and speed to market.
Success Metrics
Speed of AI feature deployment (idea to production)
Business value delivered through AI implementations
Team velocity and technical capability growth
Quality of architectural decisions balancing speed and scalability
Adoption rate of AI solutions across the organization
Seniority level Director
Employment type Full‑time
Job function Information Technology and Marketing
Industries Marketing Services
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Base pay range $135,000.00/yr - $165,000.00/yr
Direct message the job poster from HSAD North America
Position Overview We are seeking a hands‑on Lead AI/ML Engineer with strong software engineering expertise to rapidly build and deploy AI solutions. This role focuses on practical implementation and quick delivery of business value through intelligent integration of AWS ML services, LLMs, and modern AI tools. This hybrid position requires 75% hands‑on development and 25% technical leadership, emphasizing speed to market and pragmatic engineering decisions.
Key Responsibilities
Rapidly prototype and deploy AI solutions using pre-built AWS ML services and LLM APIs
Build full‑stack applications that integrate existing ML/LLM tools and services
Focus on "time to value" – quick iterations, hypothesis testing, A/B experiments
Orchestrate multiple AI services (Bedrock, SageMaker endpoints, third‑party APIs)
Develop proof‑of‑concepts in days/weeks using available tools and platforms
Lead technical team through hands‑on coding and architecture decisions
Champion pragmatic "buy and integrate" approaches for faster delivery
Required Technical Skills
Python : FastAPI, Django, Flask (expert proficiency)
Java : Spring Boot, Spring Cloud, Spring Security
Full‑stack development with focus on rapid prototyping
RAG Systems : Rapid deployment using managed vector DB solutions
Model Deployment : Using pre‑trained models and managed endpoints
Service Orchestration: Combining multiple AI services for business solutions
Experimentation: A/B testing frameworks for AI features
Rapid Delivery: MVP first, iterative improvement approach
Pragmatic Architecture: Leveraging managed services and existing platforms
Hypothesis‑Driven Development: Build, measure, learn cycles
Integration Excellence: Connecting best‑in‑class tools and services
API‑First Design: Microservices, event‑driven architectures
API Integration: REST, GraphQL, webhooks, streaming
Serverless Architecture: Lambda, API Gateway, Step Functions
AWS Platform (Production Focus)
Bedrock, SageMaker (inference and endpoints)
Lambda, Step Functions for workflow orchestration
Infrastructure as Code (CDK, Terraform)
Experience Requirements
10+ years
software engineering with recent hands‑on coding
Track record of rapid delivery
– launched multiple AI features in production
eCommerce AI projects : practical implementations with measurable impact
Experience balancing speed with quality for optimal business outcomes
Technical leadership through hands‑on contribution
What You'll Work On
AI solution prototypes with 1‑2 week turnaround
Integration projects connecting LLMs to existing systems
Production ML features using AWS managed services
Revenue‑generating experiments through A/B testing
Scalable AI architectures that grow with business needs
Cross‑functional collaboration to identify and solve business problems with AI
Ideal Candidate Profile A pragmatic engineer who excels at quickly translating business requirements into working AI solutions. Someone who understands that the best solution is often the one that ships fastest and delivers immediate value. You thrive in environments where rapid experimentation and iteration are valued over lengthy development cycles. Your strength lies in knowing when to use existing tools versus building custom solutions, always optimizing for business impact and speed to market.
Success Metrics
Speed of AI feature deployment (idea to production)
Business value delivered through AI implementations
Team velocity and technical capability growth
Quality of architectural decisions balancing speed and scalability
Adoption rate of AI solutions across the organization
Seniority level Director
Employment type Full‑time
Job function Information Technology and Marketing
Industries Marketing Services
#J-18808-Ljbffr