2025 marks the inflection point where AI evolved from productivity tool to autonomous teammate. Myridius is building
AI-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 Do
1.
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
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
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"
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
(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 with
multi-agent orchestration platforms
:
n8n
, Make (Integromat), Apache Airflow, or Prefect
Familiarity with Model Context Protocol (MCP), agent memory systems, and tool integration
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
Professional Background
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
Skills
About RCG Global Services
At Myridius, we transform the way businesses operate. Formerly known as RCG Global Services, our more than 50 years of expertise now drive a new vision--propelling organizations through the rapidly evolving landscapes of technology and business. We offer tailored solutions in AI, data analytics, digital engineering, and cloud innovation, addressing the unique challenges each industry faces. Our integration of cutting-edge technology with deep domain knowledge enables businesses to seize new opportunities, drive significant growth, and maintain a competitive edge in the global market. Our commitment is not just to meet expectations but to exceed them, ensuring measurable impact and fostering sustainable innovation. The success of Myridius is directly tied to the breakthroughs achieved by our clients. Together, we co-create solutions that not only solve today's challenges but also anticipate future trends. At Myridius, we go beyond typical service delivery. We craft transformative outcomes that help businesses not just adapt, but thrive in a world of continuous change. Discover how Myridius can elevate your business to new heights of innovation. Visit us at www.myridius.com and start leading the change.
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