AI Engineering Leader / GenAI Solutions Architect

BlackCube Labs; Washington (District of Columbia); On-site; USD 160,000 - 200,000; Part time

Job summary

BlackCube Labs seeks an AI Engineering Leader / GenAI Solutions Architect for a 06 Months Contract to drive GenAI and LLM-powered enterprise solutions. Onsite in Dallas, Bay Area, Chicago, NYC (NY/NJ), Washington DC/Virginia.

Lead architecture, integration across OpenAI/Azure/AWS services, and DevOps modernization. Candidates should have 6–10 years of relevant AI experience, strong architectural leadership, and hands-on delivery across hybrid cloud environments.

Qualifications

• 6–10 years of relevant AI engineering/architecture experience.
• Proven ability to lead GenAI and enterprise AI initiatives.
• Willingness to onsite work across multiple cities (Dallas, Bay Area, Chicago, NYC, DC/Virginia).

Responsibilities

• Lead the architecture and implementation of GenAI and LLM-powered enterprise solutions.
• Design RAG-based architectures using embeddings, vector stores, retrieval mechanisms, and contextual data.
• Integrate OpenAI APIs, Azure OpenAI, AWS Bedrock, and other AI services into enterprise applications.
• Drive AI-enabled SDLC transformation, leveraging GitHub Copilot for code generation, reviews, testing, and docs.
• Lead modernization to headless, microservices-based architectures.
• Design AI-powered search solutions, including semantic search, autocomplete, recommendations, geo-search.
• Provide enterprise-level solution architecture and technical leadership.
• Develop AI orchestration and integration services using .NET Core, Java/Spring Boot, Node.js and APIs.
• Collaborate with stakeholders to identify practical AI use cases.
• Establish scalable data modeling, indexing, retrieval, and integration strategies.
• Support cloud deployments on AWS and Azure.
• Drive DevOps practices including CI/CD, Docker/containerization, deployment and monitoring.
• Lead AI use cases: conversational AI, intelligent search, recommendations, content enrichment.
• Provide guidance for modernization and scalable digital platforms.

Skills

GenAI

LLM

AI architecture

Enterprise AI

Cloud architectures

API design

CI/CD

DevOps

Headless microservices

Tools

OpenAI APIs

Azure OpenAI

AWS Bedrock

GitHub Copilot

.NET Core

Java/Spring Boot

Node.js

Docker

Kubernetes

Job description

Immediate need for a talented AI Engineering Leader / GenAI Solutions Architect. This is a 06 Months Contract opportunity with long-term potential and is located in Dallas, Bay Area, Chicago, NYC (NY/NJ), Washington DC/Virginia(Onsite).

Job ID:26-27963

Pay Range: $160000 - $200000/annum. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Our client is a leading IT Industry and we are currently interviewing to fill this and other similar contract positions.

Key Responsibilities

• Lead the architecture and implementation of GenAI and LLM-powered enterprise solutions.
• Design RAG-based architectures using embeddings, vector stores, retrieval mechanisms, and contextual data.
• Integrate OpenAI APIs, Azure OpenAI, AWS Bedrock, and other AI services into enterprise applications.
• Drive AI-enabled SDLC transformation, leveraging tools such as GitHub Copilot for code generation, code reviews, testing, documentation, and developer productivity.
• Lead application modernization initiatives, transitioning legacy platforms to headless, microservices-based architectures.
• Design and implement AI-powered search solutions, including semantic search, autocomplete, recommendations, and geo-based search.
• Provide enterprise-level solution architecture and technical leadership across complex digital transformation initiatives.
• Develop AI orchestration and integration services using .NET Core, Java/Spring Boot, Node.js, and API-based architectures.
• Collaborate with engineering, product, and business stakeholders to identify and implement practical AI use cases.
• Establish scalable data modeling, indexing, retrieval, and integration strategies for AI applications.
• Support cloud-based AI deployments using AWS and Azure services.
• Drive DevOps practices including CI/CD, Docker/containerization, deployment, monitoring, and production support.
• Lead AI use cases including conversational AI, intelligent search, recommendations, content enrichment, and AI-powered customer experiences.
• Provide technical guidance for enterprise modernization, architecture decisions, and scalable digital platforms

Key Requirements and Technology Experience

• Requirement 1: Experienced FDE Candidate requirement; 6 to 10 years of exp;
• Compares Professional experience mentioned in Resume vs Linkedin Profile
• GitHub profile
• Other relevant candidate information – they have profile picture or not, How often they post, etc.
• According to him instead of the 3 roles that we were targeting it might be better to target:
• AI Engineer
• AI Architect
• Requirement 2 - New Requirement: Mid-level FDE 2 to 5 year experience;
• Target candidates with 2 to 5 years AI Engg, AI Architect
• Candidates can be trained into the FDE role. Need to revert with a solution – they may join the jr. FDE program towards latter half
• About 4 or 5 hires/batch of Jr. FDEs (so every 2 months)
• Location: Dallas, Bay Area, Chicago, NYC ( NY/NJ), Washington DC/Virginia onsite 5 days

Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.