Introduction
Are you a seasoned Artificial Intelligence expert ready to lead the next wave of innovation? Here’s a high-impact opportunity for a Lead AI Engineer to work on cutting-edge Agentic AI and Generative AI systems in one of the fastest-growing tech hubs in the United States.
As enterprises evolve from simple automation to intelligent, autonomous AI agents, the demand for experienced leaders who can bridge LLMs and real-world business applications is skyrocketing. This role is designed for professionals with 12+ years of experience who are ready to architect and lead enterprise-grade AI solutions.
About the Company
DevDirectly.com is a trusted platform that showcases premium tech opportunities across the United States. This role is being fulfilled in collaboration with CloudnCluster, an emerging technology consulting firm specializing in:
- Artificial Intelligence & Machine Learning solutions
- Cloud-native application development
- Enterprise automation and digital transformation
- Generative AI and LLM-based systems
CloudnCluster works with forward-thinking enterprises that are actively investing in AI-driven transformation, making this an exciting opportunity to work on real-world, impactful projects.
Job Role & Responsibilities
As a Lead AI Engineer, you will not just build systems—you will define the AI strategy and architecture for enterprise applications.
🔥 Key Responsibilities:
- Design and develop Agentic AI systems capable of autonomous decision-making
- Architect and implement LLM-powered applications using modern frameworks
- Lead the development of RAG (Retrieval-Augmented Generation) pipelines
- Guide teams in prompt engineering, fine-tuning, and model optimization
- Build scalable AI solutions for real-world business use cases
- Collaborate with cross-functional teams (data, product, DevOps)
- Ensure performance, scalability, and reliability of AI systems
- Mentor junior engineers and drive technical excellence
- Define best practices for AI governance and ethical AI usage
Eligibility Criteria
🎓 Educational Qualification:
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
- PhD is a plus but not mandatory
🧑💻 Experience Required:
- Minimum 12+ years of total experience
- Strong background in AI/ML engineering and system architecture
🌍 Work Eligibility:
- Preferred: US Citizens (USC) / H4-EAD visa holders
- Must be based in Texas (local candidates preferred)
Required Skills
🧠 Core Technical Skills:
- Deep expertise in Generative AI and Large Language Models (LLMs)
- Hands-on experience with Agentic AI frameworks
- Strong understanding of:
- Prompt engineering
- Model fine-tuning
- RAG architectures
- Experience with Python and AI libraries (TensorFlow, PyTorch, LangChain, etc.)
- Knowledge of vector databases (e.g., Pinecone, FAISS)
⚙️ Additional Skills (Preferred):
- Experience with cloud platforms (AWS, Azure, GCP)
- Familiarity with Kubernetes, Docker, MLOps pipelines
- Knowledge of data engineering pipelines
- Exposure to real-time AI systems and APIs
💡 Leadership & Soft Skills:
- Strong architectural thinking
- Excellent communication with technical & non-technical stakeholders
- Ability to lead and mentor engineering teams
- Strategic mindset for AI adoption
Salary & Benefits
💰 Estimated Salary:
- $180,000 – $240,000+ per year (based on expertise)
🎁 Benefits:
- Work on cutting-edge AI technologies
- Leadership role in enterprise AI transformation
- Competitive compensation
- Hybrid work flexibility
- Exposure to high-impact, real-world AI use cases
- Career growth in AI leadership
Work Location & Environment
📍 Location: Dallas
🏢 Work Model:
- Hybrid (Onsite + Remote)
Dallas, often called the “Silicon Prairie”, offers:
- A booming tech ecosystem
- Strong enterprise presence
- Innovation-driven culture
You’ll work in a collaborative, high-energy environment where:
- AI innovation is a priority
- Teams are agile and forward-thinking
- Your decisions directly impact business outcomes
Selection Process
The hiring process is designed for senior-level evaluation:
- Resume Screening
- Technical Discussion (AI/LLM Architecture)
- System Design Round (Agentic AI Use Case)
- Client/Leadership Interview
- HR & Offer Discussion
⏱️ Timeline: 1–2 weeks (urgent hiring)
How to Apply
If you meet the experience and location requirements, apply immediately.
📩 Apply via Email:
📌 Subject Line:
Application for Lead AI Engineer – [Your Name]
📋 Steps:
- Update your resume with AI/LLM experience
- Highlight Agentic AI or GenAI projects
- Mention your current location (Texas preferred)
- Send your application via email
Important Dates
- 📅 Application Start Date: Open Now
- ⏳ Last Date: Until position is filled
- ⚡ Joining: Immediate / Urgent
Important Links
- 📧 Apply Now: ashwini@cloudncluster.com
Tips for Candidates
✅ Resume Tips:
- Highlight AI architecture and leadership roles
- Showcase LLM / GenAI projects
- Include measurable outcomes (e.g., automation efficiency increased by 40%)
✅ Interview Preparation:
Focus on:
- Designing Agentic AI systems
- Explaining RAG pipelines
- Real-world AI deployment challenges
- Scalability of AI systems
✅ Pro Tip:
Be ready to explain:
“How you would design an autonomous AI agent that completes business workflows end-to-end.”
Common Mistakes to Avoid
❌ Applying without relevant AI leadership experience
❌ Not understanding Agentic AI concepts
❌ Weak explanation of real-world AI use cases
❌ Ignoring system design preparation
❌ Not highlighting business impact
FAQ Section
1. What is the difference between GenAI and Agentic AI?
Generative AI creates content, while Agentic AI performs actions autonomously using tools and decision-making.
2. Is this role remote?
No, it is a hybrid role based in Dallas, TX.
3. What is the salary for Lead AI Engineers in Dallas?
Typically ranges between $180K to $240K+ annually.
4. Is prior LLM experience mandatory?
Yes, strong experience with LLMs and GenAI systems is essential.
5. Who can apply for this role?
Candidates with 12+ years of experience, preferably USC or H4-EAD, and based in Texas.
6. What industries will I work with?
Enterprise clients across domains like finance, healthcare, and technology.
Conclusion
This is not just another job—it’s a chance to lead the future of AI. If you have the experience, vision, and technical depth to build next-generation AI systems, this Lead AI Engineer role in Dallas is the perfect opportunity.
With high compensation, leadership responsibilities, and cutting-edge projects, this role can redefine your career trajectory.
📩 Apply today and become a pioneer in the world of Agentic AI and Generative Intelligence!