Director - Agentic Engineering

Job Description2025 marks the inflection point where AI evolved from productivity tool to autonomous teammate. Myridius is buildingAI-driven digital labor capabilities (AI-DLC)through our EVOQ platform—transforming how enterprises work. We need a visionary technical leader who can architect agentic AI solutions that don't just assist, but autonomously plan, execute, and deliver business outcomes. 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 Do1.Architect the Future: Agentic AI Led Engineering Innovation (40%) Hands-On Engineering Leadership Lead by example: Code, prototype, and architect using Python, LangChain, LlamaIndex, and agentic frameworks Buildautonomous agent systemsusing 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) Drivemarket-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 effortsto establish defensible competitive advantages Build IP moat that positions Myridius uniquely in the agentic AI space2.Transform Client Businesses: Strategic Consulting (35%)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 adoption—from 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.Build World-Class Teams: Leadership & Mentorship (25%)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 frameworksWhat You Bring-Core Technical Expertise- Enterprise & Cloud Architecture (Must-Have) 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 (Must-Have) Deep understanding of autonomous agent architectures (Ask-Plan-Agent, ReAct, multi-agent systems) Experience with orchestration frameworks:LangChain, LlamaIndex, DSPy, AutoGen Hands-on withmulti-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, CloudWatchExperience Requirements 18-22 years in software engineering, architecture, or consulting Minimum 2+ years ofdedicated, hands-on AI/ML work(not just managing AI teams) Proven track record deploying AI solutions toproduction 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 FitYou 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

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