Director- Agentic AI

AI-driven digital labor capabilities (AI-DLC)

You'll lead from the front: coding, consulting, and mentoring while driving our evolution from traditional IT services to AI-native solution delivery.

What You'll Do

1.

Hands-On Engineering Leadership

• Lead by example: Code, prototype, and architect using Python, LangChain, LlamaIndex, and agentic frameworks
• Build

  autonomous agent systems

  using Ask-Plan-Agent patterns, multi-agent orchestration, and Model Context Protocol (MCP)
• Develop Myridius EVOQ's AI-DLC capabilities: agents that independently break down projects, plan execution, self-correct, and deliver outcomes

Platform Development

• Architect reusable AI frameworks and internal platforms that accelerate multi-client delivery
• Stay ahead of the curve: Research and implement emerging capabilities (multi-agent systems, small language models, multimodal AI)
• Drive

  market-differentiating innovation

  solve unsolved industry problems, not just integrate APIs

Intellectual Property Creation

• Identify and develop proprietary algorithms and architectural patterns within EVOQ

• Lead patent filing efforts

  to establish defensible competitive advantages
• Build IP moat that positions Myridius uniquely in the agentic AI space

2.

C-Level Advisory

• Act as primary technical advisor to enterprise client executives
• Translate complex business challenges into high-ROI AI solutions with clear transformation roadmaps
• Guide clients through autonomous AI adoptionfrom pilot to production scale

Pre-Sales Excellence

• Partner with sales teams to architect winning proposals and compelling PoCs
• Demonstrate thought leadership through client-facing technical presentations
• Define technical scope for multi-million dollar engagements

Production-Grade Delivery

• Ensure all solutions meet enterprise standards: reliability, security, scalability, and governance
• Architect MLOps pipelines and responsible AI frameworks that move beyond "notebook code"

3.

Talent Development

• Build and mentor high-performing AI Engineering and Data Science teams
• Foster culture of technical excellence, continuous learning, and innovation
• Develop next-generation leaders who can architect autonomous AI systems

Quality & Standards

• Establish best practices for agentic AI development, MLOps, CI/CD for AI
• Conduct strategic code reviews focused on architecture, scalability, and maintainability
• Implement responsible AI governance and ethical AI frameworks

What You Bring-

Core Technical Expertise- Enterprise & Cloud Architecture

• Enterprise Architecture

  : Deep understanding of microservices, service mesh, API gateway patterns, event-driven architectures

• Full-Stack Development

  : Proficiency across frontend (React/Angular/Vue), backend (Python/Node.js/Java), and database layers

• DevOps & Infrastructure

  : Hands-on experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), infrastructure as code (Terraform, CloudFormation)

• Cloud Platforms

  : Production deployment experience on AWS, Azure, or GCP with deep knowledge of:
• Compute: EC2, Lambda, App Service, Cloud Functions
• Storage: S3, Blob Storage, Cloud Storage
• Networking: VPC, load balancers, CDN
• Security: IAM, Key Vault, Secret Manager, security best practices

Agentic AI & Autonomous Systems

• Deep understanding of autonomous agent architectures (Ask-Plan-Agent, ReAct, multi-agent systems)
• Experience with orchestration frameworks:

  LangChain, LlamaIndex, DSPy, AutoGen

• Hands-on with

  multi-agent orchestration platforms

  :

  n8n

  , Make (Integromat), Apache Airflow, or Prefect
• Familiarity with Model Context Protocol (MCP), agent memory systems, and tool integration

Generative AI Mastery

• Production experience with LLMs: OpenAI GPT-4, Anthropic Claude, Llama 3, Mistral
• Advanced prompt engineering, Retrieval-Augmented Generation (RAG) architectures
• Fine-tuning expertise: PEFT, LoRA, instruction tuning

ML/AI Foundation

• Expert-level Python, PyTorch/TensorFlow, Scikit-learn
• Strong understanding of transformer architectures, embeddings, and vector operations

Data & Infrastructure

• Hands-on with Vector Databases: Pinecone, Milvus, Weaviate, Qdrant
• SQL/NoSQL database design for AI applications (PostgreSQL, MongoDB, Redis)
• Cloud AI platforms: AWS (Bedrock/SageMaker), Azure (OpenAI Service), GCP (Vertex AI)

MLOps & Production AI

• Production ML pipelines: MLflow, Kubeflow, or equivalent
• Containerization: Docker, Kubernetes for AI workloads
• CI/CD for machine learning systems
• Monitoring & observability: Prometheus, Grafana, CloudWatch

Experience Requirements

• 18-22 years in software engineering, architecture, or consulting
• Minimum 2+ years of

  dedicated, hands-on AI/ML work

  (not just managing AI teams)
• Proven track record deploying AI solutions to

  production at enterprise scale

• Experience with autonomous agent systems or multi-step AI workflows (strong plus)

Strategic Impact

• Led technical teams (10+ engineers) in complex, multi-year programs
• Consulted with C-level stakeholders on technology transformation
• Contributed to patents, published research, or notable open-source projects (preferred)

Communication Excellence

• Exceptional ability to explain complex AI concepts to business leaders
• Comfortable presenting to boards and executive committees
• Can translate technical capabilities into business value narratives

Education

• Bachelor's or Master's degree in Computer Science, AI, Mathematics, or related field
• PhD in AI/ML (plus, but not required)

Why Should You Apply?

• Ride the inflection point

  : Join at Q4 2025's agentic AI breakthrough—the once-in-a-decade moment when AI transforms from tool to autonomous teammate. Shape the market while it's being defined.

• Build something meaningful

  : Own EVOQ platform's technical evolution and create defensible IP through patents. This isn't maintenance—it's greenfield innovation with enterprise resources.

• Strategic influence at scale

  : Direct board-level exposure through reporting to Head of Solutions & Strategy. Guide multi-million dollar client transformations, not just implement requirements.

• Technical freedom + business impact

  : Lead from the front with hands-on coding while architecting solutions that redefine IT services delivery. No pure management trap—you'll build, mentor, and shape strategy.

Cultural Fit

You thrive in environments that value:

• Forward-thinking with pragmatic execution

  —ahead of market but with clear path to value

• Straight-shooting communication

  —no corporate speak, direct and actionable

• Continuous learning

  —AI is evolving weekly; curiosity is non-negotiable

• Outcome obsession

  —technology for business impact, not technology for its own sake